AI Training Data Specialist (Multimodal)

Jobs for Humanity; Cambridge; On-site; GBP 36,000 - 60,000; Part time

Job summary

Jobs for Humanity, Cambridge-based AI content team, seeks an AI Content Expert II to annotate and generate training data for LLMs, in collaboration with scientists and engineers.

The role emphasizes high-quality multi-modal data across text, image and video, precise writing in multiple styles, and rigorous auditing of peers. A fixed-term contract in a dense, fast-paced office environment awaits the right candidate.

Qualifications

• High-School or equivalent diploma and strong data editing experience.
• Proven ability to annotate written language data and markup data.
• Fluent in Dutch and English with excellent writing and comprehension (CEFR C1).
• Solid understanding of Dutch/US culture, society and norms.
• Strong research skills and integrity with attention to detail.
• Comfortable with high-School level STEM and diverse topics.
• Ability to adapt writing to various guidelines and customers.
• Ability to work in fast-paced environments with changing direction.

Responsibilities

• Creating and annotating high-quality training data across text, image and video.
• Writing grammatically correct texts in different styles per guidelines.
• Auditing tasks completed by other specialists when required.
• Making sound judgments with ambiguous information and performing tasks independently.
• Exploring issues deeply and implementing practical solutions.
• Reporting tooling bugs and suggesting improvements.

Skills

Dutch language

English language

Writing proficiency

Research skills

Attention to detail

Adaptability

High-school STEM familiarity

Guideline learning ability

Cross-cultural awareness

Education

High-School diploma

Bachelor's degree (preferred)

Tools

UNIX commands

HTML/XML/Markdown

JSON/CSV/RTF

Python basics

Regular expressions

Command line interfaces

Job description

Jobs for Humanity, Cambridge-based AI content team, seeks an AI Content Expert II to annotate and generate training data for LLMs, in collaboration with scientists and engineers.

The role emphasizes high-quality multi-modal data across text, image and video, precise writing in multiple styles, and rigorous auditing of peers. A fixed-term contract in a dense, fast-paced office environment awaits the right candidate.