At a Glance
- Tasks: Evaluate AI-generated STEM content and provide structured feedback to enhance model performance.
- Company: Join a leading AI research lab backed by top investors in a remote role.
- Benefits: Earn $20–$80/hour with flexible hours and the chance to work on impactful projects.
- Other info: Enjoy a dynamic, independent work environment with opportunities for professional growth.
- Why this job: Make a difference in AI by ensuring scientific accuracy and rigor in groundbreaking technologies.
- Qualifications: Graduate-level training or extensive experience in STEM fields required.
The predicted salary is between 80 - 80 £ per hour.
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: STEM Expert
Type: Contract
Compensation: $20–$80/hour
Location: Remote
Commitment: 5+ hours/week
Role Responsibilities
- Evaluate the accuracy and depth of AI-generated content in STEM fields to strengthen reasoning and rigor in model outputs.
- Review complex scientific data for alignment with domain principles and methodologies.
- Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance.
- Develop evaluation rubrics and benchmarks for assessing AI-generated scientific tasks and solutions.
- Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets.
- Work independently and asynchronously to meet deadlines while improving AI model performance.
Qualifications
Must-Have
- Graduate-level training or extensive industry experience in Engineering, Physics, Mathematics, Chemistry, or Software Engineering/Data Science.
- Strong written English skills.
- Ability to verify results against a source.
Preferred
- Experience with data and data visualization.
Start Date
Applications reviewed on a rolling basis.
Resources & Support
For details about the interview process and platform information, please check:
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PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Stem Data Specialist - Engineering in England employer: Mercor
Mercor is an exceptional employer that champions innovation and creativity in the AI sector, offering a fully remote work environment that promotes flexibility and independence. With a strong focus on employee growth, team members are encouraged to take ownership of their projects while benefiting from a supportive culture that values collaboration and continuous learning. Joining Mercor means being part of a forward-thinking company backed by industry leaders, where your contributions directly impact cutting-edge search technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Stem Data Specialist - Engineering in England
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Mercor.
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We think you need these skills to ace Stem Data Specialist - Engineering in England
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Mercor, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Mercor. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Mercor
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Mercor!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
