At a Glance
- Tasks: Design complex data science challenges and refine AI reasoning for cutting-edge models.
- Company: Join Alignerr, a leader in AI research with a collaborative remote culture.
- Benefits: Enjoy flexible hours, freelance autonomy, and the chance to shape AI technology.
- Other info: Potential for ongoing work and contract extension as new projects launch.
- Why this job: Make a real impact on AI development while working on your own schedule.
- Qualifications: Advanced degree in Data Science or related field; strong analytical writing skills.
The predicted salary is between 30 - 50 £ per hour.
Data Science Expert – AI Content Specialist
About The Role
What if your expertise in machine learning and statistical modeling could directly shape how the world's most advanced AI thinks? We're looking for Data Science Experts to challenge, evaluate, and improve cutting‑edge AI systems — turning your deep domain knowledge into a tangible impact on AI development. This is a fully remote, flexible contract role designed for experienced data scientists who want meaningful, intellectually stimulating work on their own schedule.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Design Complex Challenges: Craft advanced data science problems spanning hyperparameter optimization, Bayesian inference, cross‑validation strategies, dimensionality reduction, and more — pushing AI models to their limits.
- Author Ground‑Truth Solutions: Develop rigorous, step‑by‑step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as benchmark "golden responses".
- Audit AI‑Generated Code: Evaluate AI outputs using libraries like Scikit‑Learn, PyTorch, and TensorFlow — assessing technical accuracy, efficiency, and correctness.
- Refine AI Reasoning: Identify logical flaws in AI‑generated reasoning — such as data leakage, overfitting, or improper handling of imbalanced datasets — and provide structured feedback to improve model performance.
- Document Failure Modes: Systematically capture how and where AI models break down, producing insights that directly harden model reasoning.
Who You Are
- Advanced Degree: Master’s (pursuing or completed) or PhD in Data Science, Statistics, Computer Science, or a quantitative field with heavy emphasis on data analysis.
- Domain Expertise: Strong foundational knowledge across supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP.
- Analytical Writer: Able to communicate complex algorithmic concepts and statistical results clearly and concisely in written form.
- Detail‑Oriented: High precision when reviewing code syntax, mathematical notation, and the validity of statistical conclusions.
- No prior AI experience required — your data science expertise is what matters.
Nice to Have
- Prior experience with data annotation, data quality, or evaluation systems.
- Proficiency in production‑level data science workflows such as MLOps or CI/CD for models.
- Familiarity with large language model evaluation or prompt engineering.
Why Join Us
- Work directly with industry‑leading AI research teams and cutting‑edge language models.
- Fully remote and asynchronous — work when and where it suits you.
- Freelance autonomy with the structure of meaningful, intellectually engaging work.
- Contribute to AI development that shapes how technology reasons about data science.
- Potential for ongoing work and contract extension as new projects launch.
Remote Data Scientist & AI Content Specialist in Glasgow employer: Alignerr
Alignerr is an exceptional employer for Data Science Experts, offering a fully remote and flexible work environment that empowers you to shape the future of AI. With opportunities to collaborate with industry-leading research teams, you'll engage in intellectually stimulating projects while enjoying the autonomy of freelance work. The company fosters a culture of continuous learning and growth, ensuring that your contributions have a meaningful impact on AI development.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Data Scientist & AI Content Specialist in Glasgow
✨Tip Number 1
Network like a pro! Reach out to fellow data scientists and AI enthusiasts on platforms like LinkedIn. Join relevant groups and participate in discussions to get your name out there and discover hidden job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts clearly, as communication is key in this field. We want to see how you think and approach challenges!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Remote Data Scientist & AI Content Specialist in Glasgow
Some tips for your application 🫡
Show Off Your Expertise:Make sure to highlight your advanced degree and any relevant experience in data science. We want to see how your skills can directly impact AI development, so don’t hold back on showcasing your knowledge!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate analytical writers who can communicate complex ideas simply. Use clear language to explain your past projects and how they relate to the role.
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your responses to the specific requirements of the role. We love seeing candidates who understand what we’re looking for and can connect their experience to our needs.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important details about the role!
How to prepare for a job interview at Alignerr
✨Know Your Stuff
Make sure you brush up on your machine learning and statistical modelling knowledge. Be ready to discuss complex concepts like hyperparameter optimisation and Bayesian inference, as these will likely come up during the interview.
✨Showcase Your Analytical Writing
Prepare to demonstrate your ability to communicate complex ideas clearly. You might be asked to explain a technical solution or write a brief analysis, so practice articulating your thoughts in a concise manner.
✨Familiarise Yourself with Tools
Get comfortable with libraries like Scikit-Learn, PyTorch, and TensorFlow. Being able to discuss your experience with these tools and how you've used them in past projects will show that you're ready to hit the ground running.
✨Prepare for Problem-Solving Questions
Expect to tackle some real-world data science problems during the interview. Think about how you would approach auditing AI-generated code or refining AI reasoning, and be ready to walk the interviewer through your thought process.
