Top Tech Jobs & Startup Jobs

6 Days AgoSaved
Remote
3 Locations
Entry level
Entry level
Information Technology • Natural Language Processing
Transcribe Hindi audio into accurate, well-formatted written text across single- and multi-speaker recordings, podcasts, and conversations. Identify speakers, follow project-specific formatting and quality guidelines, and perform annotation/tagging tasks when required. Work remotely via a secure platform with ongoing support and flexible hours.
6 Days AgoSaved
Remote
Japan
Entry level
Entry level
Information Technology • Natural Language Processing
Transcribe Japanese audio into accurate, well-formatted text across single- and multi-speaker recordings and podcasts. Identify speakers when needed, follow project guidelines, and perform annotation/labeling tasks as required to support audio processing and ML training datasets.
6 Days AgoSaved
Remote
8 Locations
Entry level
Entry level
Information Technology • Natural Language Processing
Flexible remote project collecting and validating Ukrainian speech and text data for an AI dataset. Tasks include recording short sentences at 8 kHz, transcribing audio, cleaning and organizing text, and optionally reviewing others' work. Over 40 hours available; project runs spring to early summer. Requires reading guidelines and passing a short quiz. Paid hourly.
Top Skills: 8 Khz Audio
Entry level
Information Technology • Natural Language Processing
Compare original texts with Traditional Chinese (Taiwan) machine translations to judge accuracy, grammar, and naturalness. Provide simple quality judgments (Pass/Fail or Yes/No) following guidelines. Weekly engagement ~1–5 hours for one year; no rewriting required.
6 Days AgoSaved
Remote
8 Locations
Entry level
Entry level
Information Technology • Natural Language Processing
Contribute to an AI project by recording Portuguese (EU) voice samples, transcribing audio, cleaning and organizing text, and optionally reviewing others' work. Flexible, online, paid hourly; requires fluent Portuguese (EU), fluent English, prior audio/transcription/annotation experience, attention to detail, and a quiet recording space.
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6 Days AgoSaved
Remote
Poland
18-18 Hourly
Entry level
18-18 Hourly
Entry level
Information Technology • Natural Language Processing
Freelance remote role to record ~1.5-hour scripted conversational sessions in Russian and English with natural code-switching. Complete a short pre-vet recording, be matched with a partner, and record sessions on the Aurora Studio platform.
Top Skills: Ai Speech RecognitionAurora Studio Platform
6 Days AgoSaved
In-Office or Remote
11 Locations
Entry level
Entry level
Information Technology • Natural Language Processing
Compare source texts with Hebrew machine translations to judge accuracy, grammar, and naturalness. Make simple pass/fail quality assessments following provided guidelines. Weekly commitment 1–5 hours for a year; no rewriting required.
6 Days AgoSaved
Remote
Germany
Entry level
Entry level
Information Technology • Natural Language Processing
Transcribe German audio into accurate, well-formatted text for single- and multi-speaker recordings, podcasts, and conversations. Identify speakers where applicable, follow project-specific guidelines, and perform annotation/labeling tasks as needed. Maintain high accuracy and meet scheduled shift availability.
6 Days AgoSaved
Remote
Saudi Arabia
27-27 Hourly
Entry level
27-27 Hourly
Entry level
Information Technology • Natural Language Processing
Record a ~1.5-hour scripted conversational session with another speaker, using natural code-switching between Saudi Arabian Arabic and English. Complete a short pre-vetting test on the Aurora Studio Platform, then participate in scheduled remote recordings in a quiet environment with reliable internet.
Top Skills: Ai Speech RecognitionAurora Studio Platform
6 Days AgoSaved
Remote
Denmark
Entry level
Entry level
Information Technology • Natural Language Processing
Transcribe Danish audio into accurate, well-formatted text; identify speakers; follow project-specific guidelines; optionally perform annotation and labeling to support training datasets.
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