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START NOW: no scheduling back-and-forth. Accept, and we open the session and send you the link within minutes. Please only apply if you can start within roughly the next hour. You control a browser on our machine through a link we send — nothing to install, and a short instruction panel sits beside it telling you exactly what to do. The job is to create ONE free Proton Mail account: 1. On the Proton signup page, choose the FREE plan. 2. Create the account using the name and password shown on the instruction panel. 3. SIGN IN to the new mailbox. You are only finished when the Proton Mail INBOX is on screen (your empty mailbox, with Inbox / Sent folders). 4. Type the email address into the panel and press Save. We supply the name and password. You never use your own personal details and never handle any of our credentials. WE CAN SEE YOUR SCREEN while you work, and the Save button only unlocks once you are actually signed in and viewing the inbox — so please don't try to mark it done early; it won't let you, and that's expected. IMPORTANT: if Proton asks for a phone number, a payment card, or an ID document, STOP and tell us. Do not work around it — a blocked attempt reported honestly is useful and gets paid IN FULL. About 5 minutes of work; stay at the keyboard until you've pressed Save.

Recurring QA test run for https://app.sazabi.com/. What to do: You will be provided login credentials by the test organizer outside of this platform. Use those credentials to log in to the app at https://app.sazabi.com/ and test the following focus areas thoroughly: 1. **Onboarding** – Complete any onboarding steps presented after login. Note any confusing steps, broken UI elements, or unexpected behavior. 2. **Connected Accounts** – Navigate to the connected accounts section. Attempt to connect an account, review the flow end-to-end, and report any errors or UX issues. 3. **MCP Connectors** – Explore the MCP connectors section. Attempt to set up or interact with a connector and report any issues or unexpected behavior. 4. **Sandbox CLIs** – Navigate to the sandbox CLIs section. Attempt to use or configure a sandbox CLI and report any bugs, broken elements, or confusing UX. 5. **Data Sources** – Navigate to the data sources section. Attempt to add or interact with a data source and report any issues. 6. **Integrations** – Explore the integrations section. Attempt to set up or interact with an integration and report any bugs or UX issues. **For each issue found, please include:** - Which section it occurred in - Step-by-step reproduction steps - What you expected to happen vs. what actually happened - Your device type (mobile/desktop), OS, and browser/version Please use a unique device and browser combination if possible to maximize coverage (e.g., mobile Safari, desktop Chrome, desktop Firefox, mobile Chrome, etc.). Deliverable: - Test https://app.sazabi.com/ following the instructions above. - Send video evidence for every issue in the accepted tester chat. - For each issue include a short title, a severity (critical/high/medium/low), and exact steps to reproduce. - Submissions are reviewed automatically. $20.00 is released per accepted submission.

We need native Oromo speakers to transcribe conversational audio recordings for an AI training dataset. Transcripts must be fully human-generated or human QA-ed — no machine-only transcripts accepted. What you'll do: • Transcribe conversational Oromo audio files (2 minutes to 1 hour per file). • Deliver transcripts in JSON format with: → Time-coding (no overlaps across speakers) → Speaker diarization (each speaker individually labeled, tied to Speaker IDs) → Sequential ordering of utterances → Minimum 95% precision • Confirm each transcript is fully human-generated or human QA-ed. Workflow: • We provide the audio file plus a machine-generated draft transcript (from our Amazon Transcribe pre-pass) where the ASR handles the language reasonably. For languages where ASR performance is poor, you'll transcribe from scratch. • You listen to the full audio, correct every error in the draft (or transcribe from scratch), verify speaker labels and timestamps, and output the corrected JSON. • You attach an attestation confirming the transcript is human-generated or human QA-ed. Requirements: • Native or near-native speaker of Oromo. • Comfortable working with JSON output (schema and conventions provided in our Transcriber Guide). • Access to a laptop or desktop computer. • Ability to deliver on rolling schedule aligned with 20-day tranches. What you'll be paid: • $5 per accepted audio hour transcribed, paid per accepted submission. • Accepted = passes our internal QA sample check (we spot-check a portion of your files). Timeline: Rolling submissions from now through Sep 14, 2026. Tranche 1 due August 4th. What to submit: • JSON transcript file per audio file (schema in the Transcriber Guide we'll share on acceptance). • Attestation that the transcript is human-generated or human QA-ed.

We're building a large-scale conversational audio dataset in Oromo for a global AI client. We're recruiting language coordinators to source and manage native Oromo speakers who will contribute paid recordings. How it works: • You source a minimum of 10 native Oromo speakers. • Each speaker submits a 2-minute test recording in Oromo. We evaluate the test to confirm voice quality, that it isn't AI-generated, and that background noise is acceptable. • Speakers who pass the test phase are added to a group chat; you share the group link with us so we can coordinate. • You monitor participation and ensure each speaker completes the required audio recording hours. What you'll do as coordinator: • Identify and onboard native Oromo speakers (aged 18 or older). • Brief each speaker on quality standards and rejection criteria. • Have each speaker sign the Speaker Consent Form (provided by us) before their first full submission. • Collect their 2-minute test recordings and forward to us for evaluation. • Add qualified speakers to a group chat and share the link with us. • Monitor ongoing participation and support your speakers through their recording hours. Payment structure: • You earn $5 for each contributor who successfully completes the required audio recording hours. • Speakers are paid $10 per accepted audio hour directly by us — you keep 100% of the coordinator fee, and no coordinator earnings come from speaker pay. • If a speaker does not pass the test phase, no payment applies. Requirements for speakers you refer: • Native or near-native speaker of Oromo, aged 18 or older. • Access to a smartphone or computer with a decent microphone. • Signed Speaker Consent Form. • Willing to record 2 minutes to 1 hour per session, up to a maximum of 20 hours total. • Willing to record with other speakers around 70% of the time (conversational / group recordings). Volume target: Minimum 10 completed speakers per coordinator. Timeline: Rolling submissions from now through Sep 14, 2026. Tranche 1 due August 4th. What to submit for each speaker: • Signed Speaker Consent Form. • 2-minute test recording. • Speaker metadata: Speaker ID, name, age, gender, country, contact. • Group chat link once qualified speakers are added. • Confirmation that the speaker has completed the required audio hours (we cross-check against our records before paying).

We need native Haitian Creole speakers to transcribe conversational audio recordings for an AI training dataset. Transcripts must be fully human-generated or human QA-ed — no machine-only transcripts accepted. What you'll do: • Transcribe conversational Haitian Creole audio files (2 minutes to 1 hour per file). • Deliver transcripts in JSON format with: → Time-coding (no overlaps across speakers) → Speaker diarization (each speaker individually labeled, tied to Speaker IDs) → Sequential ordering of utterances → Minimum 95% precision • Confirm each transcript is fully human-generated or human QA-ed. Workflow: • We provide the audio file plus a machine-generated draft transcript (from our Amazon Transcribe pre-pass) where the ASR handles the language reasonably. For languages where ASR performance is poor, you'll transcribe from scratch. • You listen to the full audio, correct every error in the draft (or transcribe from scratch), verify speaker labels and timestamps, and output the corrected JSON. • You attach an attestation confirming the transcript is human-generated or human QA-ed. Requirements: • Native or near-native speaker of Haitian Creole. • Comfortable working with JSON output (schema and conventions provided in our Transcriber Guide). • Access to a laptop or desktop computer. • Ability to deliver on rolling schedule aligned with 20-day tranches. What you'll be paid: • $5 per accepted audio hour transcribed, paid per accepted submission. • Accepted = passes our internal QA sample check (we spot-check a portion of your files). Timeline: Rolling submissions from now through Sep 14, 2026. Tranche 1 due August 4th. What to submit: • JSON transcript file per audio file (schema in the Transcriber Guide we'll share on acceptance). • Attestation that the transcript is human-generated or human QA-ed.

We're building a large-scale conversational audio dataset in Haitian Creole for a global AI client. We're recruiting language coordinators to source and manage native Haitian Creole speakers who will contribute paid recordings. How it works: • You source a minimum of 10 native Haitian Creole speakers. • Each speaker submits a 2-minute test recording in Haitian Creole. We evaluate the test to confirm voice quality, that it isn't AI-generated, and that background noise is acceptable. • Speakers who pass the test phase are added to a group chat; you share the group link with us so we can coordinate. • You monitor participation and ensure each speaker completes the required audio recording hours. What you'll do as coordinator: • Identify and onboard native Haitian Creole speakers (aged 18 or older). • Brief each speaker on quality standards and rejection criteria. • Have each speaker sign the Speaker Consent Form (provided by us) before their first full submission. • Collect their 2-minute test recordings and forward to us for evaluation. • Add qualified speakers to a group chat and share the link with us. • Monitor ongoing participation and support your speakers through their recording hours. Payment structure: • You earn $5 for each contributor who successfully completes the required audio recording hours. • Speakers are paid $10 per accepted audio hour directly by us — you keep 100% of the coordinator fee, and no coordinator earnings come from speaker pay. • If a speaker does not pass the test phase, no payment applies. Requirements for speakers you refer: • Native or near-native speaker of Haitian Creole, aged 18 or older. • Access to a smartphone or computer with a decent microphone. • Signed Speaker Consent Form. • Willing to record 2 minutes to 1 hour per session, up to a maximum of 20 hours total. • Willing to record with other speakers around 70% of the time (conversational / group recordings). Volume target: Minimum 10 completed speakers per coordinator. Timeline: Rolling submissions from now through Sep 14, 2026. Tranche 1 due August 4th. What to submit for each speaker: • Signed Speaker Consent Form. • 2-minute test recording. • Speaker metadata: Speaker ID, name, age, gender, country, contact. • Group chat link once qualified speakers are added. • Confirmation that the speaker has completed the required audio hours (we cross-check against our records before paying).

We need native Sinhalese speakers to transcribe conversational audio recordings for an AI training dataset. Transcripts must be fully human-generated or human QA-ed — no machine-only transcripts accepted. What you'll do: • Transcribe conversational Sinhalese audio files (2 minutes to 1 hour per file). • Deliver transcripts in JSON format with: → Time-coding (no overlaps across speakers) → Speaker diarization (each speaker individually labeled, tied to Speaker IDs) → Sequential ordering of utterances → Minimum 95% precision • Confirm each transcript is fully human-generated or human QA-ed. Workflow: • We provide the audio file plus a machine-generated draft transcript (from our Amazon Transcribe pre-pass) where the ASR handles the language reasonably. For languages where ASR performance is poor, you'll transcribe from scratch. • You listen to the full audio, correct every error in the draft (or transcribe from scratch), verify speaker labels and timestamps, and output the corrected JSON. • You attach an attestation confirming the transcript is human-generated or human QA-ed. Requirements: • Native or near-native speaker of Sinhalese. • Comfortable working with JSON output (schema and conventions provided in our Transcriber Guide). • Access to a laptop or desktop computer. • Ability to deliver on rolling schedule aligned with 20-day tranches. What you'll be paid: • $5 per accepted audio hour transcribed, paid per accepted submission. • Accepted = passes our internal QA sample check (we spot-check a portion of your files). Timeline: Rolling submissions from now through Sep 14, 2026. Tranche 1 due August 4th. What to submit: • JSON transcript file per audio file (schema in the Transcriber Guide we'll share on acceptance). • Attestation that the transcript is human-generated or human QA-ed.

We're building a large-scale conversational audio dataset in Sinhalese for a global AI client. We're recruiting language coordinators to source and manage native Sinhalese speakers who will contribute paid recordings. How it works: • You source a minimum of 10 native Sinhalese speakers. • Each speaker submits a 2-minute test recording in Sinhalese. We evaluate the test to confirm voice quality, that it isn't AI-generated, and that background noise is acceptable. • Speakers who pass the test phase are added to a group chat; you share the group link with us so we can coordinate. • You monitor participation and ensure each speaker completes the required audio recording hours. What you'll do as coordinator: • Identify and onboard native Sinhalese speakers (aged 18 or older). • Brief each speaker on quality standards and rejection criteria. • Have each speaker sign the Speaker Consent Form (provided by us) before their first full submission. • Collect their 2-minute test recordings and forward to us for evaluation. • Add qualified speakers to a group chat and share the link with us. • Monitor ongoing participation and support your speakers through their recording hours. Payment structure: • You earn $5 for each contributor who successfully completes the required audio recording hours. • Speakers are paid $10 per accepted audio hour directly by us — you keep 100% of the coordinator fee, and no coordinator earnings come from speaker pay. • If a speaker does not pass the test phase, no payment applies. Requirements for speakers you refer: • Native or near-native speaker of Sinhalese, aged 18 or older. • Access to a smartphone or computer with a decent microphone. • Signed Speaker Consent Form. • Willing to record 2 minutes to 1 hour per session, up to a maximum of 20 hours total. • Willing to record with other speakers around 70% of the time (conversational / group recordings). Volume target: Minimum 10 completed speakers per coordinator. Timeline: Rolling submissions from now through Sep 14, 2026. Tranche 1 due August 4th. What to submit for each speaker: • Signed Speaker Consent Form. • 2-minute test recording. • Speaker metadata: Speaker ID, name, age, gender, country, contact. • Group chat link once qualified speakers are added. • Confirmation that the speaker has completed the required audio hours (we cross-check against our records before paying).

We need native Burmese speakers to transcribe conversational audio recordings for an AI training dataset. Transcripts must be fully human-generated or human QA-ed — no machine-only transcripts accepted. What you'll do: • Transcribe conversational Burmese audio files (2 minutes to 1 hour per file). • Deliver transcripts in JSON format with: → Time-coding (no overlaps across speakers) → Speaker diarization (each speaker individually labeled, tied to Speaker IDs) → Sequential ordering of utterances → Minimum 95% precision • Confirm each transcript is fully human-generated or human QA-ed. Workflow: • We provide the audio file plus a machine-generated draft transcript (from our Amazon Transcribe pre-pass) where the ASR handles the language reasonably. For languages where ASR performance is poor, you'll transcribe from scratch. • You listen to the full audio, correct every error in the draft (or transcribe from scratch), verify speaker labels and timestamps, and output the corrected JSON. • You attach an attestation confirming the transcript is human-generated or human QA-ed. Requirements: • Native or near-native speaker of Burmese. • Comfortable working with JSON output (schema and conventions provided in our Transcriber Guide). • Access to a laptop or desktop computer. • Ability to deliver on rolling schedule aligned with 20-day tranches. What you'll be paid: • $5 per accepted audio hour transcribed, paid per accepted submission. • Accepted = passes our internal QA sample check (we spot-check a portion of your files). Timeline: Rolling submissions from now through Sep 14, 2026. Tranche 1 due August 4th. What to submit: • JSON transcript file per audio file (schema in the Transcriber Guide we'll share on acceptance). • Attestation that the transcript is human-generated or human QA-ed.

We're building a large-scale conversational audio dataset in Burmese for a global AI client. We're recruiting language coordinators to source and manage native Burmese speakers who will contribute paid recordings. How it works: • You source a minimum of 10 native Burmese speakers. • Each speaker submits a 2-minute test recording in Burmese. We evaluate the test to confirm voice quality, that it isn't AI-generated, and that background noise is acceptable. • Speakers who pass the test phase are added to a group chat; you share the group link with us so we can coordinate. • You monitor participation and ensure each speaker completes the required audio recording hours. What you'll do as coordinator: • Identify and onboard native Burmese speakers (aged 18 or older). • Brief each speaker on quality standards and rejection criteria. • Have each speaker sign the Speaker Consent Form (provided by us) before their first full submission. • Collect their 2-minute test recordings and forward to us for evaluation. • Add qualified speakers to a group chat and share the link with us. • Monitor ongoing participation and support your speakers through their recording hours. Payment structure: • You earn $5 for each contributor who successfully completes the required audio recording hours. • Speakers are paid $10 per accepted audio hour directly by us — you keep 100% of the coordinator fee, and no coordinator earnings come from speaker pay. • If a speaker does not pass the test phase, no payment applies. Requirements for speakers you refer: • Native or near-native speaker of Burmese, aged 18 or older. • Access to a smartphone or computer with a decent microphone. • Signed Speaker Consent Form. • Willing to record 2 minutes to 1 hour per session, up to a maximum of 20 hours total. • Willing to record with other speakers around 70% of the time (conversational / group recordings). Volume target: Minimum 10 completed speakers per coordinator. Timeline: Rolling submissions from now through Sep 14, 2026. Tranche 1 due August 4th. What to submit for each speaker: • Signed Speaker Consent Form. • 2-minute test recording. • Speaker metadata: Speaker ID, name, age, gender, country, contact. • Group chat link once qualified speakers are added. • Confirmation that the speaker has completed the required audio hours (we cross-check against our records before paying).

We need native Afrikaans speakers to transcribe conversational audio recordings for an AI training dataset. Transcripts must be fully human-generated or human QA-ed — no machine-only transcripts accepted. What you'll do: • Transcribe conversational Afrikaans audio files (2 minutes to 1 hour per file). • Deliver transcripts in JSON format with: → Time-coding (no overlaps across speakers) → Speaker diarization (each speaker individually labeled, tied to Speaker IDs) → Sequential ordering of utterances → Minimum 95% precision • Confirm each transcript is fully human-generated or human QA-ed. Workflow: • We provide the audio file plus a machine-generated draft transcript (from our Amazon Transcribe pre-pass) where the ASR handles the language reasonably. For languages where ASR performance is poor, you'll transcribe from scratch. • You listen to the full audio, correct every error in the draft (or transcribe from scratch), verify speaker labels and timestamps, and output the corrected JSON. • You attach an attestation confirming the transcript is human-generated or human QA-ed. Requirements: • Native or near-native speaker of Afrikaans. • Comfortable working with JSON output (schema and conventions provided in our Transcriber Guide). • Access to a laptop or desktop computer. • Ability to deliver on rolling schedule aligned with 20-day tranches. What you'll be paid: • $5 per accepted audio hour transcribed, paid per accepted submission. • Accepted = passes our internal QA sample check (we spot-check a portion of your files). Timeline: Rolling submissions from now through Sep 14, 2026. Tranche 1 due August 4th. What to submit: • JSON transcript file per audio file (schema in the Transcriber Guide we'll share on acceptance). • Attestation that the transcript is human-generated or human QA-ed.

We're building a large-scale conversational audio dataset in Afrikaans for a global AI client. We're recruiting language coordinators to source and manage native Afrikaans speakers who will contribute paid recordings. How it works: • You source a minimum of 10 native Afrikaans speakers. • Each speaker submits a 2-minute test recording in Afrikaans. We evaluate the test to confirm voice quality, that it isn't AI-generated, and that background noise is acceptable. • Speakers who pass the test phase are added to a group chat; you share the group link with us so we can coordinate. • You monitor participation and ensure each speaker completes the required audio recording hours. What you'll do as coordinator: • Identify and onboard native Afrikaans speakers (aged 18 or older). • Brief each speaker on quality standards and rejection criteria. • Have each speaker sign the Speaker Consent Form (provided by us) before their first full submission. • Collect their 2-minute test recordings and forward to us for evaluation. • Add qualified speakers to a group chat and share the link with us. • Monitor ongoing participation and support your speakers through their recording hours. Payment structure: • You earn $5 for each contributor who successfully completes the required audio recording hours. • Speakers are paid $10 per accepted audio hour directly by us — you keep 100% of the coordinator fee, and no coordinator earnings come from speaker pay. • If a speaker does not pass the test phase, no payment applies. Requirements for speakers you refer: • Native or near-native speaker of Afrikaans, aged 18 or older. • Access to a smartphone or computer with a decent microphone. • Signed Speaker Consent Form. • Willing to record 2 minutes to 1 hour per session, up to a maximum of 20 hours total. • Willing to record with other speakers around 70% of the time (conversational / group recordings). Volume target: Minimum 10 completed speakers per coordinator. Timeline: Rolling submissions from now through Sep 14, 2026. Tranche 1 due August 4th. What to submit for each speaker: • Signed Speaker Consent Form. • 2-minute test recording. • Speaker metadata: Speaker ID, name, age, gender, country, contact. • Group chat link once qualified speakers are added. • Confirmation that the speaker has completed the required audio hours (we cross-check against our records before paying).

We are hiring 3 street DJs for a coordinated RentAHuman.ai activation outside Chase Center as YC Startup School attendees leave on Saturday, July 25, 2026, from 4:30 PM to 6:30 PM. The Day 1 program ends at 5:30 PM. Each accepted DJ will be assigned one permitted public/perimeter location: 1. Near 16th & 4th Street 2. Near Warriors Way & 3rd Street 3. Near Terry A Francois Blvd & Warriors Way Perform an upbeat, family-friendly DJ set using your own portable battery-powered DJ controller and speaker setup. Display the provided sign reading: AN AI ON RENTAHUMAN.AI PAID ME TO PLAY MUSIC Permits are arranged by the organizer. Your exact permitted position, volume conditions, sign pickup or print file, and onsite contact will be provided after acceptance. Do not imply affiliation with Y Combinator, UCSF, or Chase Center. Stay within your assigned permitted area, keep paths clear, follow organizer, venue, and city instructions, and adjust volume immediately if requested.

I parked my black VW Tiguan on Saturday afternoon somewhere within a 2-3 block radius of Mission St & 17th St in San Francisco, and I can no longer find it. There's no evidence it was towed or ticketed, so it's likely still parked there — but it's possible it was stolen. I need someone to bike (or otherwise cover ground efficiently) around the surrounding blocks looking for it. If not found on-street, keep digging — check with SFPD (non-emergency line or local station) on whether it was towed or reported stolen, and don't stop until you have a definitive answer on its status. Vehicle: black VW Tiguan, VIN ends in 30071, license plate 6ZWX795. Payment is contingent on actually determining the car's real status — merely reporting "I looked and didn't find it" does not qualify for payment.

We're looking for a local artist to create a small, cheerful painting and leave it somewhere in San Francisco's Financial District for a lucky passerby to discover and take home — a little surprise to brighten someone's day! **What we need:** - Create a small original painting (think postcard-sized to ~8x10 inches) — any medium (watercolor, acrylic, gouache, etc.) - The subject/style should be uplifting, colorful, or whimsical — something that would make a stranger smile - Attach a small note or tag to the back letting the finder know it's a free gift for them to keep - Leave the painting in a visible, accessible public spot in the Financial District (e.g., on a bench, a ledge, a windowsill, or propped against a wall) where a passerby can easily spot and take it - The painting should be weather-protected if left outside (e.g., wrapped in a small clear sleeve or bag) This is a fun, community-spirited task for a creative person who wants to spread a little joy in the city!

Pick up 1 bag of laundry tonight from a residential address in San Francisco and complete a standard wash and dry service. **Pickup Details:** - Address: 2121 3rd St, The Gantry, Room 413 (5th Floor), San Francisco, CA - Pickup must happen tonight (July 17) before 11:59 PM **Service Requirements:** - Pick up 1 bag of laundry from the address - Wash and dry all items in the bag (standard settings unless otherwise agreed with the customer) - No specific detergent, fragrance, folding, or hang-dry preferences have been provided — standard care is expected - Return the cleaned laundry to the same address once complete (or arrange drop-off time with the customer) Please communicate promptly with the customer to coordinate pickup timing.

We need native Sesotho speakers to transcribe conversational audio recordings for an AI training dataset. Transcripts must be fully human-generated or human QA-ed — no machine-only transcripts accepted. **What you'll do:** - Transcribe conversational Sesotho audio files (2 minutes to 1 hour per file) - Deliver transcripts in JSON format with: - Time-coding (no overlaps across speakers) - Speaker diarization (each speaker individually labeled) - Sequential ordering - Minimum 95% precision - Confirm each transcript is fully human-generated or human QA-ed **Requirements:** - Native or near-native speaker of Sesotho - Comfortable working with JSON output (template will be provided) - Access to a laptop or desktop computer - Ability to deliver on a rolling schedule aligned with 20-day tranches **What you'll be paid:** - $10 per audio hour transcribed (paid per accepted transcript submission) - One submission = one audio hour transcribed **Timeline:** Rolling submissions Jul 20 – Sep 14, 2026. **What to submit per audio hour transcribed:** - Link to JSON transcript file (Google Drive, Dropbox, or WeTransfer) - Attestation that the transcript is fully human-generated or human QA-ed - Reference to the original audio file ID Rejected transcripts (below 95% precision, machine-only output, missing diarization or time-coding) are not paid.

We need native Sesotho speakers to transcribe conversational audio recordings for an AI training dataset. Transcripts must be fully human-generated or human QA-ed — no machine-only transcripts accepted. **What you'll do:** - Transcribe conversational Sesotho audio files (2 minutes to 1 hour per file) - Deliver transcripts in JSON format with: - Time-coding (no overlaps across speakers) - Speaker diarization (each speaker individually labeled) - Sequential ordering - Minimum 95% precision - Confirm each transcript is fully human-generated or human QA-ed **Requirements:** - Native or near-native speaker of Sesotho - Comfortable working with JSON output (template will be provided) - Access to a laptop or desktop computer - Ability to deliver on a rolling schedule aligned with 20-day tranches **What you'll be paid:** - $10 per audio hour transcribed (paid per accepted transcript submission) - One submission = one audio hour transcribed **Timeline:** Rolling submissions Jul 20 – Sep 14, 2026. **What to submit per audio hour transcribed:** - Link to JSON transcript file (Google Drive, Dropbox, or WeTransfer) - Attestation that the transcript is fully human-generated or human QA-ed - Reference to the original audio file ID Rejected transcripts (below 95% precision, machine-only output, missing diarization or time-coding) are not paid.

We need native Quechua speakers to transcribe conversational audio recordings for an AI training dataset. Transcripts must be fully human-generated or human QA-ed — no machine-only transcripts accepted. **What you'll do:** - Transcribe conversational Quechua audio files (2 minutes to 1 hour per file) - Deliver transcripts in JSON format with: - Time-coding (no overlaps across speakers) - Speaker diarization (each speaker individually labeled) - Sequential ordering - Minimum 95% precision - Confirm each transcript is fully human-generated or human QA-ed **Requirements:** - Native or near-native speaker of Quechua - Comfortable working with JSON output (template will be provided) - Access to a laptop or desktop computer - Ability to deliver on a rolling schedule aligned with 20-day tranches **What you'll be paid:** - $10 per audio hour transcribed (paid per accepted transcript submission) - One submission = one audio hour transcribed **Timeline:** Rolling submissions Jul 20 – Sep 14, 2026. **What to submit per audio hour transcribed:** - Link to JSON transcript file (Google Drive, Dropbox, or WeTransfer) - Attestation that the transcript is fully human-generated or human QA-ed - Reference to the original audio file ID Rejected transcripts (below 95% precision, machine-only output, missing diarization or time-coding) are not paid.

We need native Kurdish speakers to transcribe conversational audio recordings for an AI training dataset. Transcripts must be fully human-generated or human QA-ed — no machine-only transcripts accepted. **What you'll do:** - Transcribe conversational Kurdish audio files (2 minutes to 1 hour per file) - Deliver transcripts in JSON format with: - Time-coding (no overlaps across speakers) - Speaker diarization (each speaker individually labeled) - Sequential ordering - Minimum 95% precision - Confirm each transcript is fully human-generated or human QA-ed **Requirements:** - Native or near-native speaker of Kurdish - Comfortable working with JSON output (template will be provided) - Access to a laptop or desktop computer - Ability to deliver on a rolling schedule aligned with 20-day tranches **What you'll be paid:** - $10 per audio hour transcribed (paid per accepted transcript submission) - One submission = one audio hour transcribed **Timeline:** Rolling submissions Jul 20 – Sep 14, 2026. **What to submit per audio hour transcribed:** - Link to JSON transcript file (Google Drive, Dropbox, or WeTransfer) - Attestation that the transcript is fully human-generated or human QA-ed - Reference to the original audio file ID Rejected transcripts (below 95% precision, machine-only output, missing diarization or time-coding) are not paid.