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.
Freelancer category
Data trainers who make AI answers more accurate.
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.
- Work
- Rating, labelling, relevance, transcripts
- Shortlist
- Usually within 48 hours
- Fee
- Once, only if you hire
Example shortlist3 people
Text annotation and answer rating, LLM project
16–22 $/h · start this week · English and Spanish
RA
AI data rater
3 yrs · Manila · 14–18 $/h · free now
Answer ratingRLHFEN / TL
Why: Careful with guidelines and edge cases; keeps a high quality score across long projects.
NK
Data annotator
2 yrs · Nairobi · 12–16 $/h · part-time
Image labellingBounding boxesEN / SW
Why: Fast, consistent bounding boxes and segmentation; asks good questions when the spec is unclear.
DV
Relevance & transcription reviewer
4 yrs · Bogotá · 15–20 $/h · free from Monday
Search relevanceTranscript QAES / EN
Why: Strong at relevance rating and catching transcription errors; works well with changing guidelines.
Example of the format. Real shortlists include portfolio links and current availability.
The work
What they take off your plate
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.
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.
Start a brief
Tell us what you need.
Send a short brief — role, budget, timeline. We'll come back with two or three people we'd hire ourselves, usually within 48 hours.
Request a shortlistA good brief for a ai data trainers says
- Task: rating, labelling, relevance, prompts, or transcription
- Data type: text, image, audio, or video
- Languages: the ones your data is in
- Volume and timing: batch size and deadline
- Guidelines: yours, or help writing them