Image Evaluation Specialist (Remote, Part-Time)

About OpenTrain

OpenTrain is the centralized, open platform where people build careers teaching AI through data-labeling and annotation work. We help contributors find projects, consolidate opportunities, and grow a portfolio of AI training experience they control.

• OpenTrain AI is the hiring and contracting organization for this role.
• Creating an OpenTrain account is free and lets you apply in minutes.

About AI training and data-labeling work

AI training (also called data labeling or annotation) is the human side of building modern AI: people prepare, review, and judge examples that teach models how to see, speak, and respond. This work is fast-growing, often fully remote, and well suited to flexible, part-time schedules.

Many projects need no prior experience—attention to detail, clear communication, or language fluency are often enough—while specialist tasks pay more for domain expertise.

• 100% remote work you can do from anywhere with an internet connection.
• Flexible hours for part-time contributors and people building a freelance career.

The role — what this job is

As an Image Evaluation Specialist you will review images against project rubrics and quality standards, document decisions, and flag edge cases that fall outside current guidelines. This contractor, part-time role expects 20+ hours per week and is open worldwide for English speakers.

Pay is on an hourly basis at $20–$30 USD per hour. The work uses classification and evaluation/rating labels on image data and requires delivering consistent, high-volume assessments in a remote environment.

• Employment type: Contractor, Part-time (20+ hours/week).
• Pay: USD $20–$30 per hour, paid hourly.
• Data type: Images. Label types: Classification and Evaluation/Rating.
• Worldwide applicants accepted; English required.

What you'll do day to day

You will follow detailed guidelines to assess image quality, spot visual errors or inconsistencies, and write short, clear explanations for review decisions. You will also flag ambiguous or novel cases that require rubric updates and help keep calibration consistent as guidelines change.

• Evaluate images against detailed criteria and quality standards.
• Detect visual inconsistencies, errors, deviations, and edge cases.
• Write concise, well-structured explanations supporting each decision.
• Flag ambiguous examples and surface gaps in project documentation.
• Help maintain calibration and consistency as rubrics evolve.

Requirements and qualifications

This is an entry-level-friendly role that values strong visual attention, analytic judgment, and clear written English. Prior experience in content evaluation, moderation, QA, annotation, or trust & safety is helpful but not required.

You should be comfortable using review tools or annotation platforms and able to work independently in a remote setting while meeting throughput expectations.

• Strong visual attention to detail when reviewing images.
• Clear, concise written English for review explanations.
• Critical thinking and analytic judgment in structured review work.
• Comfort using annotation or review tools for digital content.
• Ability to work independently and deliver high-volume assessments.

Who should apply

Apply if you enjoy close visual work, writing short technical explanations, and improving quality through careful review. This role suits people seeking flexible, part-time remote work and those starting a career in AI training or expanding an annotation portfolio.

• Ideal for careful, observant people who like pattern recognition and writing clear notes.
• Good fit for contributors with moderation, QA, annotation, or content-evaluation backgrounds.

How applications and work agreements work

Create or sign into your OpenTrain account to apply. Build a brief profile highlighting relevant experience and availability, then submit your application for review. Successful applicants will receive instructions about onboarding, tools, and workflows from OpenTrain AI.

Onboarding typically includes guideline training and calibration tasks so you can start contributing consistent, high-quality reviews.

• Apply through your OpenTrain account — creating one is free.
• Onboarding includes training and calibration assignments before paid work begins.