Саргіс

SARGIS PAPIKYAN
DATA ANNOTATION & AI OUTPUT EVALUATION
Odesa, Ukraine · [открыть контакты](см. выше в блоке «контактная информация»)

PROFILE

Multilingual annotator with hands-on experience rating, ranking, and documenting AI-generated outputs against detailed rubrics. Native Ukrainian speaker,
fluent in English and Polish, with a language-oriented academic background that trained me to notice fine distinctions in meaning, tone, and phrasing — the
exact skill that keeps annotation consistent across thousands of similar-looking tasks. Comfortable with long batches of repetitive review, ambiguous edge cases,
and writing clear technical explanations of why an output succeeded or failed rather than just scoring it.

EXPERIENCE

Data Annotator & AI Output Evaluator
Mercor · Remote · November 2025 – May 2026
Classified and rated AI-generated outputs against multi-criteria rubrics covering factual accuracy, instruction-following, completeness, and tone, sustaining
consistent judgment across 20+ tasks per week.
Guided AI agents toward working solutions for real coding problems by writing targeted corrective prompts and step-by-step reasoning traces, documenting
the intervention behind each fix.
Produced extensive descriptive technical documentation for AI artifacts — explaining model behaviour, failure modes, and edge cases in language precise
enough to be reused by other reviewers.
Identified and reported faulty artifacts, malformed prompts, and unsolvable tasks through structured QA reports, contributing to improved task design and
reduced wasted annotation effort.
Applied rubric updates and reviewer feedback quickly, maintaining consistent scoring alignment across the full contract period.
Coordinated with reviewers and team leads over Slack, escalating ambiguous cases rather than guessing at them.

SKILLS

Annotation & Evaluation — Rubric-based scoring · Preference ranking and side-by-side comparison · Prompt writing and refinement · Edge-case identification ·
Error and bug reporting · Technical documentation · Quality consistency across large batches
Technical — Slack · Microsoft Office (Word, Excel, Outlook) · Reading and evaluating code in Python and JavaScript
Working Style — Detail-oriented under repetition · Comfortable with ambiguous instructions · Clear written English · Remote and asynchronous collaboration

LANGUAGES

Ukrainian Native
English Fluent — daily working and living language
Polish Fluent