Negotiable
Undetermined
Remote
United Kingdom
Summary: The role of STEM Expert – AI Trainer at Crossing Hurdles involves providing subject matter expertise in STEM fields to enhance AI training processes. The position is contract-based, allowing for flexible and asynchronous work hours, and requires advanced qualifications in a STEM discipline. Candidates will validate AI outputs, curate datasets, and communicate complex concepts effectively. The role is fully remote, catering to individuals with strong analytical skills and a background in AI or related fields.
Key Responsibilities:
- Provide subject matter expertise in STEM fields to guide AI training processes
- Design, curate, and evaluate STEM-related prompts and datasets
- Validate AI-generated outputs for factual accuracy and technical correctness
- Annotate and review data to improve AI understanding of STEM concepts
- Identify and troubleshoot errors or gaps in AI reasoning
- Communicate complex STEM concepts through clear written documentation and verbal feedback
- Collaborate with AI researchers and engineers to refine training quality
- Stay updated with advancements in STEM and AI to continuously improve model performance
Key Skills:
- Advanced degree (MSc, PhD, or equivalent) in Science, Technology, Engineering, Mathematics, or a related STEM field
- Deep subject matter expertise in at least one core STEM domain
- Strong analytical and problem-solving skills
- Excellent written and verbal communication skills
- High attention to detail and factual accuracy
- Experience explaining or documenting technical concepts clearly
- Comfortable working independently in a remote environment
- Strong time management and self-motivation
- Prior experience working with AI, LLMs, or model evaluation projects (preferred)
- Background in data annotation, educational content creation, or research (preferred)
- Familiarity with AI ethics, data privacy, or responsible AI practices (preferred)
- Experience working in interdisciplinary or cross-functional STEM teams (preferred)
Salary (Rate): £80.00/hr
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
At Crossing Hurdles, we work as a referral partner. We refer candidates to our client that collaborates with the world’s leading AI research labs to build and train cutting-edge AI models.
Position: STEM Expert – AI Trainer
Type: Contract
Compensation: $30–$80/hr
Location: Remote
Duration: 10–40 hrs/week, flexible and asynchronous
Requirements: (Training support will be provided)
- Advanced degree (MSc, PhD, or equivalent) in Science, Technology, Engineering, Mathematics, or a related STEM field
- Deep subject matter expertise in at least one core STEM domain
- Strong analytical and problem-solving skills
- Ability to reason through complex technical or scientific concepts
- Excellent written and verbal communication skills
- High attention to detail and factual accuracy
- Experience explaining or documenting technical concepts clearly
- Comfortable working independently in a remote environment
- Strong time management and self-motivation
Preferred:
- Prior experience working with AI, LLMs, or model evaluation projects
- Background in data annotation, educational content creation, or research
- Experience validating technical or scientific datasets
- Familiarity with AI ethics, data privacy, or responsible AI practices
- Experience working in interdisciplinary or cross-functional STEM teams
Role Responsibilities:
- Provide subject matter expertise in STEM fields to guide AI training processes
- Design, curate, and evaluate STEM-related prompts and datasets
- Validate AI-generated outputs for factual accuracy and technical correctness
- Annotate and review data to improve AI understanding of STEM concepts
- Identify and troubleshoot errors or gaps in AI reasoning
- Communicate complex STEM concepts through clear written documentation and verbal feedback
- Collaborate with AI researchers and engineers to refine training quality
- Stay updated with advancements in STEM and AI to continuously improve model performance
Application process: (Takes 7–30 mins)
- Upload resume
- AI interview (camera on, skill-based questions; coding for engineers)
- Submit form