At a Glance
- Tasks: Evaluate and improve frontier AI coding models through hands-on machine learning engineering tasks.
- Company: Join Mercor, a partner of a leading AI research lab, for an exciting project.
- Benefits: $400 per accepted task, flexible sprint-based work, and the chance to work with cutting-edge AI.
- Other info: Limited spots available, so apply quickly to secure your place!
- Why this job: Make a real impact in AI by tackling complex challenges and enhancing frontier coding agents.
- Qualifications: 2+ years in machine learning engineering and experience with AI coding tools.
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.
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ML Engineer - AI Coding Expert employer: Mercor
At Mercor, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel in their roles. As a Remote Backend Engineer, you'll enjoy the flexibility of working from anywhere while collaborating with cutting-edge AI technology, alongside opportunities for professional growth and development. Our commitment to competitive compensation and a supportive environment makes Mercor an exceptional employer for those seeking meaningful and rewarding work in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer - AI Coding Expert
✨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
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We think you need these skills to ace ML Engineer - AI Coding Expert
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like ML Engineer - AI Coding Expert at Mercor, 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 Mercor.
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 Mercor
✨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!
