Expert Data Annotator
Listing checked October 5, 2026 · pay as published by AfterQuery
Overview
AfterQuery hires experienced professionals from fields such as law, medicine, engineering, finance or science to join a remote annotation project. You commit about 10 hours each week on a contract basis and review text, documents and model outputs against project guidelines. The work calls for domain expertise rather than general review skills, since each sample needs professional judgment and a written rationale. Pay ranges from $25 to $60 per hour, and the role gives you a way to apply your background to AI development without leaving your current practice.
What You'll Do6
- 1Review data samples that include text, documents and model-generated responses, then assign labels with the project's structured framework.
- 2Use your professional background to judge whether content is accurate, appropriate and within scope for the annotation task.
- 3Write detailed justifications for each annotation decision and include citations when a source supports your reasoning.
- 4Mark ambiguous, inconsistent or out-of-scope samples and send them to project leads with a written explanation.
- 5Record annotation choices in a consistent format so another reviewer can reproduce your decisions.
- 6Follow project-specific annotation guidelines across a high volume of review tasks while maintaining accuracy.
Requirements8
- 1At least 3 years of professional work in a field that demands specialized knowledge, such as law, medicine, engineering, finance or science.
- 2Strong analytical and critical thinking skills, with a record of applying professional judgment to complex or nuanced material.
- 3Clear written communication, including the ability to produce structured annotations backed by citations.
- 4Capacity to work on your own, follow detailed guidelines and keep accuracy high across a large volume of review tasks.
- 5Prior experience with data annotation, content review or AI model evaluation workflows.
- 6Comfort using annotation platforms and structured labeling tools.
- 7An advanced degree or professional certification in a relevant domain.
- 8Experience writing structured analyses, legal memos, research reports or technical documentation in a professional setting.
Who Should Apply
The right candidate brings at least three years of hands-on work in law, medicine, engineering, finance, science or another specialized field. You write clear analyses, cite sources and can defend each label with a reasoned explanation. People who treat annotation as simple data entry or who lack a deep domain background tend to score low on fit. Applications also lose points when they show no examples of structured written work or cannot point to professional judgment on complex material. If you prefer open-ended creative tasks over guideline-driven review, this contract will feel restrictive.
Salary Insight
The listing sets compensation at $25 to $60 per hour. That range sits above many entry-level annotation rates and reflects the demand for practitioners with 3+ years in a specialized domain. An advanced degree, certification or prior AI model evaluation work may position you near the top of that band.
Pay and demand for Data Science & Analytics roles
AggregatedTypical pay
$68/hour
This role
$43/hr
Most Data Science & Analytics roles pay $45–$85 per hour. This role's pay sits below that range.
Based on 102 similar roles that publish pay · 18 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
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- Listed in last 30 days
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Most requested skills · share of roles
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Compensation
$42.50/hr
Required Skills
Application Tip
Submit a short writing sample that mirrors the annotation work: pick a nuanced document from your field, state your judgment, and support it with two citations. Highlight any prior data annotation or AI model evaluation projects in your resume, since those count as preferred qualifications.
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