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Data Analyst (AI Evaluation)

micro1

LocationUnited States
SeniorityMid-level
Companymicro1
Verified recentlyChecked today
Compensation

$62k-$125k

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Requirements and working style

Decision details from the source listing

Experience

3-5 years stated

Schedule

unknown

Required overlap

unknown

These fields are normalized from the employer's text. Confirm details on the employer site before applying.

WFH.team analysis

What this posting tells you

Remote US-based contractor role reviewing datasets and task outputs for accuracy, completeness, and compliance with evaluation guidelines to support AI training. The listing prefers 3–5+ years of relevant experience; no salary or benefits are stated.

Role lane

Data, Product, QA and testing

Where you can work

United States

Working hours

Timezone overlap is not stated.

Arrangement

Mid-level · Contractor

Required signals
Data reviewData quality evaluationApplying detailed instructions and evaluation rubricsAttention to detailError spottingHandling ambiguityWritten and verbal communicationSpreadsheet fluency
Preferred signals
SQL or data queryingData annotation or labeling
Confirm before applying
  • Required timezone overlap is not stated
Market context

Data hiring on WFH.team

11,010active related roles
3,836new in the latest period
398.3jobs per 100 candidates
$184kmedian of comparable listed ranges

This role's listed pay is below the median among 200 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.

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Skills and signals
Data reviewData quality evaluationApplying detailed instructions and evaluation rubricsAttention to detailError spottingHandling ambiguityWritten and verbal communicationSpreadsheet fluencySQL or data queryingData annotation or labelingRemote, US-based
Job description

Data Analyst (AI Evaluation) at micro1

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.

Company context

Working remotely at micro1

micro1 builds human-expertise data and evaluation infrastructure for AI models and agents. It recruits core-team employees and domain experts for AI training projects.

Headquarters
San Francisco Bay Area, California, United States
Founded
2022
Remote policy

Expert opportunities are remote and can be flexible. International applicants are considered, subject to country exclusions and each project's requirements. Core-team work arrangements vary by opening; check the individual posting.

Application process

Apply through the official posting. Expert applicants complete an AI interview and skills certification, followed by project selection and onboarding. Certification does not guarantee a project or immediate work.

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