Data Analyst (AI Evaluation)

Pay: $30 - $60/hour

Required Skills
Data Analysis
Data Review
Attention to detail
Handling ambiguity
Error spotting
About micro1
micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.

Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.

Role Title: Data Analyst (AI Evaluation)

Role Type: Contractor

Location: Remote, US-based.

micro1 is engaging Data Analysts to contribute their knowledge and expertise to a customer’s data quality project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Scope of Work

Review datasets and detailed task outputs for accuracy, completeness, and adherence to guidelines.
Identify and flag inconsistencies, errors, and outputs that deviate from provided instructions.
Apply structured rubrics and evaluation criteria consistently across large data sets.
Exercise sound judgment and document rationale in ambiguous scenarios where guidelines are unclear.
Escalate patterns or recurring data issues for further analysis rather than addressing them individually.
Provide clear, actionable written and verbal feedback pinpointing issues and suggesting resolution paths.
Maintain meticulous attention to detail while working through high volumes of repetitive data review assignments.

Preferred Qualifications

3–5+ years of experience in data review, data quality, quality assurance, or analytical roles.
Proven expertise in reviewing, validating, and critiquing data or deliverables based on explicit criteria.
Exceptional ability to follow detailed written instructions and apply complex evaluation rubrics precisely.
Demonstrated comfort with ambiguity, including making justifiable decisions when guidelines are incomplete.
Advanced attention to detail and error-spotting capabilities across repetitive or high-volume work.
Strong written and verbal communication skills for documenting findings and providing feedback.
Baseline fluency with spreadsheets (sorting, filtering, simple formulas); SQL or hands-on data querying is a plus.
Experience with data annotation, labeling, or rubric-based evaluation is advantageous.
Email

By clicking any of the "Continue" buttons below, you acknowledge and agree to our Terms and Privacy Policy for candidates.

Continue
or
Continue with Google
Continue with LinkedIn

Have any questions? See FAQs

Refer and Earn