Part-time Experts - Machine Learning (B2B, Nebius Academy)
Nebius Academy is an international online learning platform helping engineering teams master AI and cloud technologies. We build hands-on, industry-relevant programs for B2B audiences — combining deep technical expertise with real-world application. Our Machine Learning curriculum covers the full ML lifecycle: from foundational concepts and mathematical methods to supervised learning, time series forecasting, and numerical methods — applied to real business problems.
Who are we looking for? We are building a talent pool of experienced Data Scientists and ML practitioners for ongoing roles as Instructors, Authors, and Subject Matter Experts in our Machine Learning educational programs.
We are looking for specialists across the following areas: Machine Learning in Business, Basics of Machine Learning, Supervised Learning, Time Series in Machine Learning, Numerical Methods of Machine Learning, and adjacent ML engineering topics.
A strong candidate doesn't just know their stack deeply — they actively apply ML in real-world projects and can translate complex concepts into practical, teachable content. We prioritize hands-on experience with tools and workflows such as Scikit-learn, PyTorch, XGBoost, time series libraries (Prophet, statsmodels), ML experiment tracking (MLflow, W&B), feature engineering pipelines, or similar. The ability to teach others how to build and evaluate models in real business contexts is what sets our experts apart.
These are Talent Pool positions — we continuously review applications and build our roster of experts. This means there may not be an immediate opening at the time you apply, but strong candidates will be added to our talent pool and contacted as relevant opportunities arise.
You can join us on a part-time basis (~10–15h/week), contributing as an instructor leading live sessions and workshops, as a course author creating learning materials, or as a subject matter expert supporting curriculum development. Teaching sessions are compensated separately.
Compensation: $40–150/hour, depending on experience and format of collaboration.
Our selection process is fully asynchronous and designed to respect your time:
Application Review — we evaluate your profile against our current needs
Async Video Interview — a short self-recorded interview (10–15 minutes max)
Test Assignment — approximately 1 hour to complete
Talent Pool — finalists are added to our active roster of vetted experts
Hiring Manager & Tech Expert Call — once a relevant position opens, we invite you to a live interview with our team
Offer — we extend an offer for a relevant position upon successful completion of the process
Apply now — we review applications on an ongoing basis.
Please submit your resume in English.
What you will do
Available Roles
We are building a talent pool of Instructors, Authors, and Subject Matter Experts for our Machine Learning educational programs. We hire on an ongoing basis across the following specializations: Most in demand: ML in Business, Supervised Learning, Time Series in ML
Also relevant: Basics of Machine Learning, Numerical Methods of Machine Learning, and adjacent ML and data science topics
Instructor You will lead live, hands-on training sessions for experienced data practitioners, helping them apply machine learning concepts and tools to real-world business problems.
Conduct live, interactive training sessions and workshops
Prepare practical workshop scenarios and training materials in collaboration with our Instructional Designer
Develop reusable materials: model-building exercises, prompt libraries, challenge tasks, and reference guides
Work with the curriculum team to ensure alignment between asynchronous and live content
Communicate with students during Q&A sessions
Review and incorporate learner feedback to continuously improve session design
Author You will create the core educational content for our ML courses — from structure and learning objectives to lessons, assessments, and final projects.
Collaborate with us to define the course structure and learning objectives for each module
Create clear, concise, and comprehensive content: lessons, manuals, guides, session outlines, and assessments
Prepare content in multiple formats: text, draft slides, and screencasts
Participate as a speaker in learning videos
Design the final project for the course
Work iteratively with instructional designers to improve content quality
Ensure all content meets industry standards and aligns with course objectives
Contribute to content updates based on student feedback analysis
Optional: participate as an instructor in live sessions — compensated separately
Subject Matter Expert You will shape the strategic direction of our ML curriculum, ensuring our programs reflect real industry needs and the latest developments in machine learning and data science.
Define topic priorities for ML learning programs targeting data scientists, ML engineers, and adjacent technical roles
Decompose ML and data science skills into competency maps, mastery frameworks, and learning roadmaps
Review course structures and content for technical accuracy, practical relevance, and alignment with learning outcomes
Act as an internal authority for the Curriculum team — translating market needs and ML trends into program strategy
Support the selection and evaluation of external authors and experts
Monitor emerging ML tools, frameworks, and workflows; convert insights into recommendations for new or updated programs
⌛ All roles are part-time: 10–15 hours per week.
Requirements
Subject Matter Expert
Strong hands-on technical expertise in machine learning, data science, or ML engineering
Ability to evaluate real-world ML tools, modeling approaches, and workflows — and distinguish practical solutions from hype
Experience structuring complex ML knowledge into competency maps, frameworks, skill decompositions, or curriculum logic
Ability to review technical learning content critically and provide clear, structured feedback to authors and internal stakeholders
Seniority level that allows autonomous work after onboarding, with strong ownership and minimal supervision
Strong communication skills and ability to explain complex technical topics clearly to mixed stakeholders
Availability to collaborate within European time zones
Fluent English (written and spoken); Russian or Spanish is a strong plus
Author
5+ years of professional experience in data science or ML engineering, with a strong focus on supervised learning, time series, or applied ML in business contexts
Solid knowledge of Python and core ML stack: Scikit-learn, Pandas, NumPy, and familiarity with numerical methods and forecasting libraries
Hands-on experience building and deploying ML models in real-world settings — with concrete implementation cases and measurable impact
Proven track record in engineering advocacy, tech leadership, conference speaking, or mentoring
Strong desire to share knowledge and explain complex concepts in a clear, comprehensible way
Ability to work independently and take ownership of a content area
Strong attention to detail
Availability to dedicate approximately 10 hours per week to collaboration
Fluent English (written and spoken); Russian or Spanish is a strong plus
Instructor
5+ years of experience in data science or ML engineering, with a strong focus on supervised learning, time series, or applied ML in business contexts
Solid knowledge of Python and core ML stack: Scikit-learn, Pandas, NumPy, and familiarity with numerical methods and forecasting libraries
Hands-on experience building and deploying ML models in real-world settings — with concrete implementation cases and measurable impact
Ability to translate complex ML concepts into actionable, engaging learning experiences for professional audiences
Confident, collaborative, and audience-oriented facilitation style
Background in ML advocacy, tech leadership, or data science mentorship is a strong plus
Strong preparation habits and time management; able to commit 10–15 hours per week
Fluent English (written and spoken); Russian or Spanish is a strong plus
What we can offer you
The opportunity to create impactful content while maintaining your primary job: Share your expertise without leaving your current role
Competitive hourly rate of $40-$85 USD for flexible part-time collaboration with significant impact and an amazing team!
Remote cooperation with a schedule convenient for both you and the team: We don't focus on micromanagement
Cross-cultural experience: Become part of an international team and connect with professionals from diverse backgrounds
Meaningful impact: Share your knowledge and help experienced engineers advance their skills through high-quality educational content
Participation in innovative projects: Contribute to shaping the future of programming education and AI adoption
Professional growth: Receive feedback and develop your skills as a technical content creator and thought leader
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