At a Glance
- Tasks: Enhance AI understanding of data science by reviewing and refining AI-generated outputs.
- Company: Join a leading tech team shaping the future of AI in data science.
- Benefits: Flexible remote work, access to AI Academy, and opportunities for collaboration.
- Other info: Dynamic project matching based on expertise and availability.
- Why this job: Make a real impact on AI systems while working flexibly around your schedule.
- Qualifications: Senior-level data scientist with experience in data science and machine learning projects.
The predicted salary is between 63000 - 77000 £ per year.
Freelance | 8–20 hrs/week | Remote (EU/UK)
Are you an experienced data scientist who instinctively spots gaps in analytical reasoning and understands the complex realities of data science in a business context? Do you have 8 to 20 hours per week available alongside your main job or consulting projects? Join us in shaping how AI understands and applies data science expertise at scale.
About the Role
10x.team connects expert freelancers with leading AI labs building next-generation models. We are looking for knowledgeable data scientists based in the EU or UK to enhance the accuracy, depth, and real-world relevance of AI-powered data science solutions.
What You Will Do
- Review and refine AI-generated outputs related to data science, machine learning, statistical modeling, and practical aspects of deploying data-driven solutions.
- Evaluate AI responses for accuracy, application of statistical and machine learning methods, and compliance with real-world requirements.
- Draft realistic data science scenarios based on your direct professional experience.
- Create scenario variations from different perspectives (e.g. data scientist, business stakeholder, manager, or client).
- Identify gaps, oversights, or weak reasoning in AI-generated data science content.
In simple terms: You will assess and improve AI-generated content, ensuring it reflects true data science reasoning, authentic documentation, and practical analytical procedures. Rather than conducting traditional data science projects, you’ll apply your expertise to help AI systems understand and reason about data science at scale.
Who You Are
- A senior-level data scientist with significant professional experience within the EU or UK.
- Experienced in advising on, preparing, and executing data science or machine learning projects.
- Skilled at evaluating analytical approaches, data quality, and compliance.
- Comfortable working independently and providing structured, critical feedback.
- Available for 8–20 hours per week, with prompt availability.
Why Join?
- Flexible, fully remote freelance work that fits your current commitments.
- Apply your data science expertise in a rapidly evolving, high-impact AI environment.
- Directly contribute to building advanced AI-powered data science systems.
- Free access to our in-house AI Academy to further develop your AI skillset.
- Clear onboarding, structured tasks, and ongoing opportunities for collaboration.
Please note: these AI Lab missions are not traditional job openings with fixed start dates. Project demand is highly dynamic and matching depends on your expertise, availability, and current AI Lab needs. Some experts are matched within days, while others may wait longer for a suitable project. Join us to help shape the data science expertise of the world’s most advanced AI models!
Data Scientist - AI Trainer - Freelance - 8-20hr p/w employer: Stryker Corporation
Stryker Corporation is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to thrive in a remote setting while being part of a leading medical communications team. With a strong emphasis on professional development and growth opportunities, employees are encouraged to enhance their skills and advance their careers, all while contributing to meaningful projects that impact healthcare globally.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - AI Trainer - Freelance - 8-20hr p/w
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
✨Get Involved in Data Science Communities
Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
✨Pitch Your Services Directly to Companies
Don't just wait for freelancing platforms to bring clients to you—be proactive! Research companies that could benefit from data science services and craft tailored pitches. Mention specific pain points you can address for them. Let’s get that freelance hustle going!
We think you need these skills to ace Data Scientist - AI Trainer - Freelance - 8-20hr p/w
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Data Scientist - AI Trainer - Freelance - 8-20hr p/w at Stryker Corporation, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at Stryker Corporation.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at Stryker Corporation
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
