At a Glance
- Tasks: Use cutting-edge AI coding agents to tackle complex ML engineering tasks.
- Company: Join a top-tier tech company backed by industry leaders.
- Benefits: Earn up to $85/hour with flexible remote work options.
- Other info: Dynamic role with opportunities for professional growth and development.
- Why this job: Make an impact in the AI field while working on innovative projects.
- Qualifications: 2+ years of ML engineering experience and familiarity with AI coding tools.
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: ML Engineer (Coding Agent Experience)
Type: Contract
Compensation: $85/hour, $400 per accepted task. Compensation is tied to accepted work.
Location: Remote
Role Responsibilities:
- 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 in AI models.
- Compare outputs from multiple frontier models and assess their strengths and weaknesses.
- Apply professional engineering judgment to realistic ML engineering scenarios.
Must-Have Qualifications:
- 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.
Preferred Qualifications:
- Experience deploying ML systems to production.
AI/ML Engineer - Fully Remote | Upto $85/hr employer: Mercor
Mercor is an exceptional employer for AI/ML Engineers, offering a fully remote work environment that fosters creativity and innovation. With competitive compensation of up to $85 per hour and the opportunity to collaborate with leading AI research labs, employees benefit from a culture that prioritises professional growth and cutting-edge technology. The company's commitment to connecting top talent with elite projects ensures that every team member can make a meaningful impact in the rapidly evolving field of artificial intelligence.
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.
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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
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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 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!
