Ai Model Trainer - Remote

Job Description

Job Description

Role Overview

Collaborating with a leading AI lab to contract detail-oriented generalists for a data annotation project. Contractors will support the development of AI systems by categorizing and labeling diverse datasets using predefined taxonomies. The project offers an opportunity to directly contribute to the accuracy, reliability, and performance of next-generation AI models.

Key Responsibilities

Synthesize information from large volumes of data

Annotate and categorize text, images, and other data according to detailed guidelines

Apply predefined rubrics and taxonomies to produce structured, high-quality outputs

Flag inconsistencies, ambiguities, or errors in datasets

Contribute to the improvement of AI systems through consistent annotation work

Ideal Qualifications

Based in the United States

Ability to synthesize complex or high-volume information into structured formats

Strong critical reasoning, reading comprehension, and written communication skills

Prior experience applying rubrics, taxonomies, or standardized guidelines (preferred but not required)

More About the Opportunity

• Expected commitment : ~20 hours / week

Application Process

Submit your resume to begin

Complete a Training Assessment

Typical response time : 1–2 business days

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms