AI Response Evaluation Specialist

About OpenTrain

OpenTrain is the #1 platform for people starting and growing careers in AI training and data labeling. Contributors use OpenTrain to discover projects, build a unified AI training profile, and apply for remote freelance work that helps shape real AI systems.

Creating an OpenTrain account is free.

Why AI Training Matters

AI training (also called data labeling or human feedback work) is the human side of building modern AI. People prepare and review examples that teach models how to write, reason, translate, and behave—making this work a direct way to influence cutting-edge systems.

This work is often 100% remote, flexible, and accessible: many projects require no prior experience beyond strong language skills and attention to detail, while specialist projects pay more for domain expertise.

Role overview

OpenTrain is recruiting for an AI Response Evaluation Specialist (contract, part-time) to assess AI-generated responses, annotate text, and apply detailed rubrics consistently. This is an entry-level role open to remote applicants worldwide who can commit 20+ hours per week.

Work will focus on TEXT data and use evaluation tasks labeled RLHF and EVALUATION_RATING on project-specific annotation platforms (labeling software listed as OTHER). Compensation is hourly, ranging from $20–$40 USD per hour depending on assignment.

• Employment type: Contractor, Part-time
• Time requirement: 20+ hours/week
• Language: English (required)
• Pay: Hourly, USD $20–$40/hr

What you'll do

Your day-to-day work focuses on high-quality, consistent feedback that improves model performance across diverse topics. You will follow written guidelines and collaborate with the project team to ensure rubric alignment.

• Evaluate and score AI-generated responses using well-defined rubrics and metrics.
• Annotate and categorize text data to improve model accuracy and reliability.
• Review content for relevance, coherence, and factual accuracy.
• Provide actionable feedback that informs ongoing model improvements.
• Collaborate with the project team to interpret guidelines and refine rubrics.
• Document findings and maintain meticulous records of annotations and evaluations.
• Work across complex subject matter including business, finance, marketing, healthcare, legal, and research content.

Requirements

Candidates must meet the essential qualifications and demonstrate the skills needed to apply detailed scoring criteria to large volumes of content.

• Bachelor’s degree (required).
• Exceptional attention to detail and accuracy in annotation and evaluation.
• Strong critical reading and analytical skills.
• Clear written and verbal communication in English.
• Experience evaluating or scoring large volumes of content against detailed criteria.
• Prior AI training, machine learning annotation, human-in-the-loop, or quality assurance experience is highly valued.
• Ability to work independently and collaboratively in a fully remote environment.

How to apply

Create an OpenTrain account (free), complete your profile, and submit an application for this listing. The role is offered as a remote contractor position through OpenTrain and is open worldwide.

When applying, highlight relevant experience evaluating model outputs or large-scale content scoring and confirm your availability for 20+ hours/week.