Opportunity

AI Data Quality Specialist – Build AI QA Skills in Columbus

Location Columbus
Company iMerit Technology
Source weworkremotely
Posted 2026-10-28 22:44:12

Career & Market Insight

The AI Data Quality Specialist / AI Trainer role at iMerit sits at the intersection of AI development and human expertise — a rapidly growing niche as companies scale LLM and computer vision products.

Skills developed: This role builds hands-on experience with RLHF (Reinforcement Learning from Human Feedback) pipelines, annotation quality control, and rubric design — skills in high demand at AI labs (OpenAI, Anthropic, Google DeepMind) and enterprise AI companies alike. Proficiency in identifying subtle model errors and writing structured feedback is increasingly valued for roles like AI QA Lead, Prompt Engineer, or AI Content Policy Analyst.

Compensation signals: No salary is listed, which is a mild red flag for a fully remote role with global reach. Industry benchmarks for AI annotation/QA roles range from $18–$40/hr contract, or $50K–$85K annually for full-time equivalents in the US. Candidates should clarify rate and engagement type (hourly contract vs. salaried) before committing.

Company profile: iMerit is an established AI data services company with enterprise clients — not a scrappy startup. This suggests structured processes and stability, but potentially less rapid career acceleration than a VC-backed AI lab.

Green flags:

  • Growing field with long-term relevance as AI adoption expands.
  • Work is intellectually engaging and builds transferable critical-thinking skills.
  • Global reach suggests openness to diverse talent.

Red flags: No stated benefits, no salary transparency, and contractor-style language may mean limited job security or advancement pathways within the company.

Headquarters: California
URL: https://imerit.ai/

About the Opportunity

We're seeking detail-oriented professionals to review AI-generated content and annotated data for accuracy, clarity, and consistency. This role is well suited to candidates with backgrounds in editing, teaching, instructional design, quality assurance, research, or AI data annotation.

You will apply detailed written guidelines, identify subtle errors, and explain your decisions clearly. Assignments may include written content, image comparisons, and other evaluation tasks that require sustained focus and independent judgment.

What You Will Do

  • Review AI-generated responses and annotated data against project guidelines and scoring rubrics.
  • Identify errors, inconsistencies, unsupported statements, and cases that require further review.
  • Write clear, specific feedback explaining what is incorrect and how it should be improved.
  • Compare images or video frames to identify subtle visual differences, where required.
  • Maintain consistent judgments across lengthy tasks and multiple documents.
  • Incorporate feedback and participate in calibration exercises to align with project standards.
  • Flag unclear guidelines and recommend improvements to rubrics, SOPs, or review instructions.
  • Manage assignments independently and meet agreed quality and delivery expectations.

To apply: https://weworkremotely.com/remote-jobs/imerit-technology-ai-data-quality-specialist-ai-trainer

Frequently Asked Questions

Is this role fully remote and open to applicants outside the US?
Yes — the job is listed as open to candidates anywhere in the world, with no geographic restrictions mentioned in the posting.
What kind of background is required for this AI Trainer role?
iMerit welcomes candidates from editing, teaching, instructional design, quality assurance, research, or AI data annotation backgrounds. Strong written communication and attention to detail are key.
Is the work schedule flexible, or are fixed hours required?
The posting emphasizes independent assignment management and self-directed delivery, strongly suggesting a flexible, asynchronous schedule with no fixed hours specified.
What does the day-to-day work involve?
You will review AI-generated text and annotated data against rubrics, write detailed feedback on errors, occasionally compare images or video frames, and participate in calibration sessions to align with project standards.
Is there any salary information available for this position?
No salary or compensation details are disclosed in the job posting. Applicants should inquire about rate and engagement type (contract vs. full-time) during the application process.
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