Wintel Ltd
AI Model Training Assistant – Remote & Flexible
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Location: Fully Remote – UK
Job Type: Part-Time / Flexible Pay: UK National Minimum/National Living Wage, based on applicable statutory rate Working Hours: Should be flexible to work in varied hours throughout the day – subject to task availability and deadlines Preferred: Ongoing University students and recent graduates UK Right to Work is mandatory. No Work Visa Sponsorship.
About the Role
We are looking for detail-oriented individuals to support the training and improvement of advanced Artificial Intelligence (AI) models. The role involves reviewing, evaluating and improving AI-generated responses, completing structured model-training tasks, and providing high-quality human feedback that helps improve the accuracy, reasoning and overall performance of AI systems. This is a fully remote position with flexible working hours, making it particularly suitable for university students who would like to gain practical exposure to Generative AI and AI model training alongside their studies.
Key Responsibilities
- Review and evaluate AI-generated responses for accuracy, relevance, clarity and completeness.
- Compare multiple AI responses and determine which better satisfies a given task or set of requirements.
- Identify factual, logical, reasoning or instruction-following issues in model outputs.
- Provide clear and structured feedback to improve AI model performance.
- Write, review and refine prompts and expected responses for model-training exercises.
- Complete data annotation, categorisation and labelling tasks.
- Verify information and perform online research where required.
- Evaluate whether AI responses correctly follow instructions and specified criteria.
- Review written content for grammar, coherence, factual accuracy and overall quality.
- Complete assigned AI model-training and evaluation tasks according to provided guidelines.
- Maintain consistently high standards of accuracy and attention to detail.
- Follow confidentiality, data-security and project-quality requirements.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Preferred Skills
Previous professional AI experience is not essential. Candidates should ideally have:
- Strong analytical and critical-thinking skills.
- Excellent attention to detail.
- Good written English and communication skills.
- Ability to evaluate information objectively against defined criteria.
- Strong research and fact-checking abilities.
- Ability to follow detailed written instructions.
- Confidence working independently in a remote environment.
- General understanding or interest in Artificial Intelligence and Generative AI.
- Knowledge of Python, SQL, Data Science, Machine Learning or programming is advantageous for technical assignments but is not essential for all tasks.
Preferred Candidates
We particularly welcome applications from current university students, including undergraduate, Master’s and PhD students. Students from a wide range of academic backgrounds may be considered, including:
- Computer Science
- Artificial Intelligence / Machine Learning
- Data Science
- Mathematics and Statistics
- Engineering
- Business and Finance
- Economics
- Science
- English and Humanities
- Other analytical or research-focused disciplines Applicants will primarily be assessed on analytical ability, written communication, attention to detail and ability to follow task instructions.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Working Arrangements
This is a 100% remote and flexible role. There are no standard daily working hours. Work can generally be completed during the morning, afternoon, evening or weekends according to individual availability, subject to project requirements, task availability and agreed deadlines. This arrangement is intended to allow students to work around lectures, examinations and other academic commitments. Workers are responsible for accurately recording the time spent completing assigned work.
Compensation
Pay will be provided on an hourly basis in accordance with the applicable UK National Minimum Wage / National Living Wage requirements. The applicable hourly rate will depend on the worker’s age and relevant UK employment requirements.
What You Will Gain
This opportunity provides practical exposure to:
- Generative AI and Large Language Models (LLMs)
- AI model training and evaluation
- Prompt and response evaluation
- Human feedback for AI systems
- Data annotation and quality assurance
- AI reasoning and instruction-following evaluation
- Research and fact-checking
- Working with emerging AI technologies The role can provide valuable practical experience for students interested in careers involving Artificial Intelligence, Data Science, Machine Learning, technology, research or analytics.
No previous commercial AI experience is required. Training and task-specific guidance will be provided.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location