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For Companies At a Glance
- Tasks: Design advanced data science challenges and create rigorous technical solutions.
- Company: Alignerr, a leader in AI research collaboration.
- Benefits: Competitive hourly pay, remote work, and flexible hours.
- Why this job: Engage with cutting-edge AI models and make a real impact.
- Qualifications: Master’s or PhD in Data Science or related field required.
- Other info: Join a dynamic team with opportunities for growth and renewal.
The predicted salary is between 30 - 60 £ per hour.
About The Job
At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. You’ll challenge advanced language models on topics like machine learning theory, statistical inference, neural network architectures, and data engineering pipelines—documenting every failure mode so we can harden model reasoning.
Organization Position: Data Science Expert - AI Content Specialist
Type: Hourly Contract
Compensation: $40–$80 /hour
Location: Remote
Commitment: 10–40 hours/week
What You’ll Do
- Develop Complex Problems: Design advanced data science challenges across domains like hyperparameter optimization, Bayesian inference, cross-validation strategies, and dimensionality reduction.
- Author Ground-Truth Solutions: Create rigorous, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as "golden responses."
- Technical Auditing: Evaluate AI-generated code (using libraries like Scikit-Learn, PyTorch, or TensorFlow), data visualizations, and statistical summaries for technical accuracy and efficiency.
- Refine Reasoning: Identify logical fallacies in AI reasoning—such as data leakage, overfitting, or improper handling of imbalanced datasets—and provide structured feedback to improve the model's "thinking" process.
Requirements
- Advanced Degree: Master’s (pursuing or completed) or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a heavy emphasis on data analysis.
- Domain Expertise: Strong foundational knowledge in core areas such as supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP.
- Analytical Writing: The ability to communicate highly technical algorithmic concepts and statistical results clearly and concisely in written form.
- Attention to Detail: High level of precision when checking code syntax, mathematical notation, and the validity of statistical conclusions. No AI experience required.
Preferred
- Prior experience with data annotation, data quality, or evaluation systems.
- Proficiency in production-level data science workflows (e.g., MLOps, CI/CD for models).
Why Join Us
- Excellent compensation with location-independent flexibility.
- Direct engagement with industry-leading LLMs.
- Contractor advantages: high agency, agility, and international reach.
- More opportunities for contracting renewals.
Application Process (Takes 15-20 min)
- Submit your resume.
- Complete a short screening.
- Project matching and onboarding.
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Data Science Expert - AI Content Specialist in Birmingham employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Expert - AI Content Specialist in Birmingham
✨Tip Number 1
Network like a pro! Reach out to folks in the data science community, especially those who work with AI. Join relevant forums, attend webinars, and don’t be shy about sliding into DMs. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving machine learning or data engineering. Use platforms like GitHub to share your code and document your thought process. This will make you stand out when applying through our website.
✨Tip Number 3
Prepare for interviews by brushing up on technical concepts and problem-solving strategies. Practice explaining complex ideas clearly and concisely, just like you would in your role. Mock interviews with friends can help you get comfortable with the format.
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you email can go a long way in showing your enthusiasm for the position. Plus, it keeps you fresh in their minds as they make their decisions.
We think you need these skills to ace Data Science Expert - AI Content Specialist in Birmingham
Some tips for your application 🫡
Craft a Tailored Resume: Make sure your resume highlights your relevant experience in data science and AI. We want to see how your skills align with the job description, so don’t be shy about showcasing your expertise in machine learning and statistical inference!
Show Off Your Analytical Writing Skills: Since clear communication is key for this role, include examples of your technical writing. Whether it’s a blog post, a research paper, or documentation, we love seeing how you can break down complex concepts into digestible content.
Be Detail-Oriented: Pay close attention to your application materials. Typos or formatting errors can distract from your qualifications. We appreciate precision, especially when it comes to technical details, so double-check everything before hitting submit!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you’re considered promptly. Plus, it only takes 15-20 minutes—easy peasy!
How to prepare for a job interview at Alignerr
✨Know Your Stuff
Make sure you brush up on advanced data science concepts like hyperparameter optimization and Bayesian inference. Be ready to discuss your experience with Python, R, and SQL, as well as any relevant projects you've worked on.
✨Showcase Your Analytical Writing
Prepare to demonstrate your ability to communicate complex ideas clearly. Bring examples of your written work that explain technical concepts or solutions, as this will highlight your analytical writing skills.
✨Attention to Detail is Key
During the interview, be meticulous when discussing code syntax and statistical conclusions. Highlight instances where your attention to detail made a difference in your previous work, especially in technical auditing or model evaluation.
✨Engage with Their Challenges
Familiarise yourself with common AI challenges and be prepared to discuss how you would approach them. This shows your proactive thinking and aligns with their focus on refining AI reasoning and improving model performance.
