AI Data Annotoator & Trainer (Remote)

About This Role

Role: AI Data Annotator & Trainer (Remote)

Location: Remote

Payout: $18 - $30/hour

Role Overview

We are hiring AI Data Annotators and Trainers to label, evaluate, and improve AI model outputs across text, image, and multimodal tasks. In this role, you will apply structured rubrics, write training prompts, and rank AI responses to improve model quality. The ideal candidate is detail-oriented, curious, and a strong written communicator.

Key Responsibilities

- Label and annotate data across text, image, and multimodal tasks.

- Evaluate AI and LLM output quality using structured rubrics.

- Write training prompts and creative responses to improve AI systems.

- Rank and compare AI outputs based on clear evaluation criteria.

- File clean evaluation reports with written justification.

- Contribute to rubric design and annotation guidelines.

Required Skills & Qualifications

- Bachelor's degree or higher (or currently enrolled).

- Strong written communication and language fluency.

- Strong attention to detail and analytical skills.

- Ability to follow detailed evaluation guidelines and rubrics.

- Comfort working with structured tools and dashboards.

- Ability to work independently in a remote environment.

Preferred Qualifications

- Background in linguistics, writing, journalism, or content evaluation.

- Prior experience with annotation platforms or AI training work.

- Native fluency in a non-English language.

- Subject matter expertise (STEM, legal, medical, finance).

- Experience with data tools or basic analytics.

What We Offer

- Remote and flexible work environment.

- Competitive pay with contract options and paths to full-time.

- Modern AI evaluation environments and active feedback loops.

- Collaborative and quality-focused team.

- Learning opportunities across AI annotation, evaluation, and rubric design.

Equal Opportunity Employer

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.