I will be your expert ai annotator for llm training
Professional web developer
About this Gig
Hi, I'm Farva an AI annotator and data quality specialist with hands-on experience evaluating LLM outputs using structured rubrics. I help AI companies and research teams build training data that actually improves model performance.
What I offer:
- RLHF preference ranking (A vs B) with written rationales
- SFT response writing and editing
- Factuality checks and hallucination detection with cited sources
- Code review across Python, JavaScript, SQL, Java, C++, and more
- Strengths / improvements / severity ratings per rubric
- Classification, sentiment, intent, and safety labeling
- Prompt writing and multi-turn conversation evaluation
Why work with me:
- Technical background (Python, Django, full-stack)
- Native-level English no vague feedback or rubric misreads
- Consistent severity ratings across large batches
- I flag edge cases instead of guessing
- NDA-friendly
Send the rubric and 1-2 labeled examples before ordering so we can confirm fit. Bulk and ongoing projects welcome message me for a custom offer on 500+ item batches.
Technique:
Manual
Tagging type:
Text
•
Image
•
Video
FAQ
Can you work on my company's internal platform?
Usually yes. I've worked across custom web tools, Qualtrics-style forms, and spreadsheet workflows.
What languages do you annotate in?
English (native-level). For code review, I work across Python, Elixir, JavaScript, TypeScript, HTML, CSS, SQL, Java, C++, R and Bash.
Do you use AI to do the annotation?
No. The whole point is human judgment. I use AI the way any developer does, for drafting and reference, but every label, ranking, and rationale is my own.
Can you handle large, ongoing projects?
Yes — this is where I do my best work. Message me and we'll set up a custom package.

