Generalist Expert

Mercor; Deutschland; Vor Ort; EUR 27.552 - 41.328; Teilzeit

Benefits dieser Stelle

Competitive pay

Flexible schedule

Opportunity to collaborate with experts in AI

Zusammenfassung

A leading AI partner is looking for detail-oriented generalists for a data annotation project in Germany. Candidates will contribute to the development of AI systems by categorizing and labeling diverse datasets. This fully remote position is expected to require around 20 hours of work per week. Ideal candidates should have strong skills in synthesizing information, as well as critical reasoning and written communication. Prior experience in data annotation is preferred but not required. Compensation is competitive, paid weekly through Stripe or Wise.

Qualifikationen

• Ability to synthesize complex or high-volume information into structured formats.
• Prior experience applying rubrics, taxonomies, or standardized guidelines (preferred but not required).

Aufgaben

• 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.

Kenntnisse

Information synthesis

Critical reasoning

Reading comprehension

Written communication

Ausbildung

College degree

Jobbeschreibung

Role Overview

Mercor is 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

• 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)
• A college degree and experience with data annotation projects

More About the Opportunity

• Expected commitment: ~20 hours/week

Application Process

• Submit your resume to begin
• Complete a Training Assessment

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

Contract and Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are weekly on Stripe or Wise based on services rendered.
• Please note: We are unable to support H1-B or STEM OPT candidates at this time.

About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.