Rating answers, labelling text and images, checking transcripts — the human judgment that trains accurate, safer AI. Every data trainer in the iince pool has done real annotation work to written guidelines, not just a tutorial.
AI data trainers · Remote · Canada · Per project · French, English · USD 20–38 per hour
Remote freelance annotation work for a global AI-data company: rate and label French-Canadian and English content to help train AI systems. Part-time, flexible, around 15–20 hours per week.
AI data trainers · Remote · Philippines · Per project · English · USD 20–36 per hour
Remote freelance role reviewing English content to help train and evaluate large language models (LLMs): assess sentiment, factual accuracy and reasoning, and apply consistent labels at scale.
AI data trainers · Remote · Worldwide (selected countries) · Per project · English · USD 22–38 per hour
Join a remote talent network for English-language AI-training projects: annotation, evaluation and prompt-writing work that comes to you as projects arise, with scope and pay confirmed before each one.
AI data trainers · Remote · India or Philippines · Per project · English · USD 20–37 per hour
Remote freelance pilot reviewing short English audio clips: verify word-level segments, correct timestamps and transcription, and flag unusable clips to build training data for speech AI. Around 30 hours per week.
AI data trainers · Remote · United States · Per project · English · USD 20.30 per hour · approx. 8–10 hours/week
Remote freelance rating project for US-based raters: review personalized map and location suggestions tied to your own activity and rate how relevant and useful they are. Around 8–10 hours per week, USD 20.30/hr.
AI data trainers · Remote · United States (selected states) · Part-time · English · USD 23–38 per hour
Remote part-time role for US-based English speakers: review search results, judge how helpful and relevant they are, and answer quality questions to help improve search. Set your own schedule, 10–29 hours per week.
Rating and ranking AI answers against written guidelines
Labelling and annotating text, image, audio, and video data
Search and maps relevance rating, and query-result judgments
Prompt writing and review, speech recording, and transcript checking
Vetting for this role
What we check before we shortlist a ai data trainers.
General vetting isn't enough. These are the checks specific to this role, on top of the skill tests every applicant takes.
A real sample task
We give a short labelling or rating task to written guidelines and check the work before anyone joins the pool.
Language and reading
We confirm the languages they work in and that they read instructions closely — most quality problems start with a skimmed guideline.
Consistency, not just speed
We look at how consistent their judgments are across a batch, not only how fast they go.
Typical engagements
The three briefs we see most.
A few hours a week
Ongoing task work
People pick up rating and labelling tasks as they come, around other commitments. Common for entry-friendly, flexible work.
Usually 2–6 weeks
Project batch
A defined batch of data to label or answers to rate, with a deadline and a quality bar agreed up front.
Monthly, part-time
Standing panel
A trained group kept on call for recurring rating, relevance, or transcription review as new data arrives.
Typical ranges, not quotes. Your brief decides the scope and the timeline.
AI data trainers: questions
Before you hire.
Do people need experience to do this work?
Often not much. These are entry-friendly, remote tasks; what matters most is reading guidelines carefully, good language skills, and consistent judgment. Tell us the level you need.
What languages and data types can you cover?
Text, image, audio, and video, across many languages. Tell us the languages and the task — rating, labelling, relevance, prompts, or transcription — and we shortlist people who fit.
Can we start with a small test batch?
Yes. A paid pilot batch is a common first step, so you can check quality and agreement before scaling the work up.