AI Data Labeller (Text / NLP)
Posted 2 months, Ends in 3 weeks$2,000.00 USD
Bids: 7 Interviews: 5We're looking for an experienced text and NLP data labeller to help build high-quality training and evaluation datasets for our AI models. You'll work directly with raw text data, annotating, classifying, and quality-checking it against detailed guidelines so our models learn from accurate, consistent labels.
This is hands-on annotation work for someone who already knows the craft: you understand edge cases, you flag ambiguity instead of guessing, and you care about labeling consistency at scale. This is a remote, contract engagement with flexible hours and the potential for ongoing work based on quality and throughput.
What you'll do
Annotate and classify text data: sentiment, intent, topic, named entities (NER), and other custom schemasLabel and rate LLM/chatbot responses for relevance, accuracy, tone, and safety
Apply detailed annotation guidelines consistently across large batches of data
Identify ambiguous or edge-case examples and escalate them with clear notes
Perform quality assurance (QA) reviews on your own and, where needed, others' labels
Give structured feedback to help refine and improve annotation guidelines over time
What we're looking for
- Proven experience in data annotation, labeling, or linguistic QA (please share examples or the types of projects you've worked on)
- Strong reading comprehension and an eye for detail and nuance in written language
- Native or fluent English (additional languages a plus; specify which)
- Comfort working with annotation tools (e.g. Label Studio, Prodigy, Labelbox, or similar) and spreadsheets
- Ability to follow complex guidelines precisely and maintain consistency across long sessions
- Reliable internet, self-direction, and clear communication for a remote setup
Nice to have
- Background in linguistics, languages, journalism, content, or a related field
- Familiarity with NLP concepts (tokenization, NER, intent classification, RLHF / model evaluation)
- Experience rating or ranking AI-generated outputs (preference comparison, red-teaming)
- Prior remote freelance experience with distributed teams
About the job
Posted Job
21 Jun, 2026Deadline
30 Jul, 2026Experience level
IntermediateProject Scope
MediumMinimum Bid Coins
1 coinsJob Longevity
Less than 1 WeekLocation
100% Remote jobSkill and expertise
- AI
Job questions for freelancers
- Describe a time you encountered an ambiguous or edge-case example that the annotation guidelines didn't clearly cover. How did you decide on a label, and what did you do next?
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7 - Freelancers are bidding on this job
Godswill Wilson
View ProfileUnited Kingdom
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Total Earned 0.00Multilingual translator, localization specialist, data annotation specialist, and AI content evaluator with experience supporting projects across corporate communication, education, digita...
Robbie Richards
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Total Earned 0.00An experienced academic writer with over 8 years of experience. A devoted and ready to learn individual with experience in transcription, AI training and prompting, proofreading and editing....
Talent Gadzai
View ProfileSouth Africa
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Total Earned 10.00I have experience in training Ai as a freelancer and my area of experience is in data annotation,labeling and evaluation.
Watanabe Kotaro
View ProfileJapan
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Total Earned 0.00I help businesses automate repetitive work, build scalable web applications, and integrate AI into real business processes.With experience in full-stack development and AI automation, I deve...
Pervaiz Hassan
View ProfilePakistan
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Total Earned 0.00"Hey there! I am a dedicated freelance Content Writer, Data Entry Specialist, and Virtual Assistant with a strong passion for delivering high-quality work. Over the past couple of years, I h...
About the Buyer
Edward Poe
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0 Complete Job
, Canada
Posted Job
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English