Job Description

STEM Lead/Rater – GenAI Data - Bedford
Bedford
PCD320002

Description
STEM Lead/Rater – GenAI Data

Work Location: UK, remote
Engagement Model: Freelancer / Independent Contractor
Start Date: ASAP

Qualification Requirements: Successful completion of a role‑specific written assessment and a background check.

We are looking for highly qualified STEM experts to join our Generative AI projects. In this role, you will guide data collection and evaluation workflows, work closely with AI researchers, and ensure that high‑quality STEM content is developed and delivered. This is a hands‑on role that combines subject‑matter expertise, problem-solving, and teaching excellence.

Main Responsibilities
Work with AI researchers and engineers to understand data collection and evaluation needs.
Translate requirements into clear workflows for larger teams.
Execute and manage data workflows quickly and with high quality.
Create new and efficient methods for collecting and evaluating STEM‑related data.
Collaborate with peers and cross‑functional teams to deliver large volumes of accurate data.

Requirements
Education: Master's with distinction or PhD in a STEM field from a top university in the United Kingdom.
Experience: 10+ years teaching STEM subjects (Olympiad, or similar). Proven record of mentoring top‑performing students (top 100 rankers).
Skills: Strong subject mastery in STEM with the ability to solve advanced‑level problems. Experience creating original content, teaching materials, and question banks. Comfortable using productivity suite and working in fast‑paced environments. Strong communication skills with the ability to explain complex topics clearly.
The specialist data division is part of the organisation, the world's largest provider of language and technology solutions for global business, with offices in more than 100 cities worldwide. We offer high‑quality data for Human‑Machine Interaction to some of the most prestigious technology companies in the world. Our department focuses on gathering, enriching and processing data for Machine Learning in different AI domains.

Technical Keywords
SQL, Python, ETL, DataOps, public cloud platform, cloud data platform, business intelligence platform, Pipelines, Governance.