At a Glance
- Tasks: Evaluate and improve frontier AI coding models through structured technical assessments.
- Company: Join a leading AI research lab with exciting projects.
- Benefits: Earn up to $85/hr, work fully remote, and enjoy flexible hours.
- Other info: Limited spots available; apply quickly to secure your place!
- Why this job: Make a real impact in AI while working on cutting-edge technology.
- Qualifications: 2+ years of machine learning engineering experience and familiarity with AI coding tools.
The predicted salary is between 64000 - 85000 £ per year.
About the Role
Mercor is partnering with a leading AI research lab to support a Frontier Code Agents project. Contributors help evaluate and improve frontier AI coding models through structured technical assessments. The work focuses on realistic machine learning engineering workflows and model evaluation. Spots are limited and filling quickly on a first come, first serve basis.
What You'll Do
- Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks.
- Review model-generated implementations involving model training, inference systems, MLOps, and LLM applications.
- Identify bugs, edge cases, performance issues, and failure modes.
- Compare outputs from multiple frontier models and assess their strengths and weaknesses.
- Apply professional engineering judgment to realistic ML engineering scenarios.
Time Commitment
Sprint based project that runs in 12-24 hour stretches based on client requirement.
Compensation
$400 per accepted task. Typical tasks take approximately 2–3 hours after ramp-up. Compensation is tied to accepted work.
Who Should Apply
- 2+ years of professional machine learning engineering experience.
- Experience building production ML systems, model deployment infrastructure, LLM applications, or AI-powered products.
- Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
- Ability to evaluate model-generated machine learning implementations and technical tradeoffs.
- Experience deploying ML systems to production is preferred.
AI/ML Engineer - Fully Remote | Upto $85/hr employer: Obsidian
Mercor offers an exceptional remote working environment for AI/ML Engineers, providing the opportunity to collaborate with a leading AI research lab on cutting-edge projects. With competitive compensation and a focus on professional growth, employees can engage in meaningful work that directly impacts the advancement of frontier AI technologies. The company fosters a culture of innovation and flexibility, making it an ideal place for talented individuals looking to thrive in the rapidly evolving field of machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land AI/ML Engineer - Fully Remote | Upto $85/hr
✨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 AI/ML Engineer - Fully Remote | Upto $85/hr
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like AI/ML Engineer - Fully Remote | Upto $85/hr at Obsidian, 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 Obsidian.
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 Obsidian
✨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!
