Demo

Remote | Generalist Expert — $23–$30/hour

24-MAG
San Francisco, CA Remote Contractor
POSTED ON 4/9/2026
AVAILABLE BEFORE 5/7/2026
We are sharing a specialised part-time consulting opportunity for detail-oriented generalists with strong synthesis skills, structured reasoning ability, and experience working with rubric-based or taxonomy-driven workflows.

This role supports an exciting collaboration with a leading frontier AI research laboratory focused on improving the accuracy, reliability, and performance of next-generation AI systems through high-quality data annotation.

Selected professionals will categorize and label diverse datasets using predefined taxonomies, helping support advanced AI development through consistent, structured annotation work. This opportunity is especially well-suited to individuals who can synthesize large volumes of information, apply detailed guidelines accurately, and maintain strong quality standards across annotation and categorization tasks.

Key Responsibilities

Professionals in this role may contribute to:

Structured Data Annotation & Categorization

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

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

Support consistent and accurate annotation workflows across diverse data types

Information Synthesis & Quality Review

Synthesize information from large volumes of data into structured formats

Flag inconsistencies, ambiguities, or errors in datasets

Help maintain strong standards for data quality, clarity, and annotation reliability

AI Training Support

Contribute to the improvement of AI systems through careful, consistent annotation work

Support high-impact human data workflows used to improve model performance

Apply strong reasoning and reading comprehension across structured project tasks

Ideal Profile

Strong candidates may have:

The 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

A college degree

Experience with data annotation projects

Preferred Qualifications

Experience working across text, image, or multi-format annotation workflows

Comfort operating within structured quality expectations and repetitive review environments

Strong attention to detail and consistency across categorization tasks

Ability to work independently while maintaining high annotation quality

Why This Opportunity

Contribute specialised structured annotation expertise to a cutting-edge AI collaboration

Help improve the accuracy, reliability, and performance of next-generation AI systems

Work on high-impact human data workflows with strong relevance to model quality

Flexible remote work with structured expectations and competitive hourly compensation

Contract Details

Independent contractor role

Fully remote with flexible scheduling

Hourly compensation of $23–$30 per hour

Expected commitment of approximately 20 hours per week

Application process includes resume submission and a Training Assessment

Projects may be extended, shortened, or concluded early depending on project needs and performance

Weekly payments via Stripe or Wise

Work will not involve access to confidential or proprietary information from any employer, client, or institution

Please note: We are unable to support H1-B or STEM OPT candidates at this time

Start date: Immediate

About The Platform

This opportunity is available through a leading AI-driven work platform that connects domain experts with frontier AI research projects.

Experts contribute to improving advanced AI systems by providing specialised expertise across real-world workflows, structured evaluation, model training support, and domain-specific content validation.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy

Salary : $23 - $30

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