At a Glance
- Tasks: Transform high-level goals into clear, testable deliverables and create structured documentation.
- Company: Join a forward-thinking tech company that values innovation and collaboration.
- Benefits: Earn $150/hr, enjoy remote work flexibility, and access professional development opportunities.
- Other info: Dynamic role with immediate hiring and great potential for career growth.
- Why this job: Make an impact by working on exciting projects with cutting-edge technology.
- Qualifications: Strong Python skills and experience in automated grading or QA verification.
The predicted salary is between 13 - 16 £ per hour.
Key Responsibilities:
- Convert high-level objectives into tightly scoped, testable deliverables with clear inputs/outputs and measurable success criteria.
- Create structured documentation that defines expected behavior, constraints, and edge cases in a way other evaluators can reuse.
- Build lightweight automation scripts to support evaluation flows (e.g., generating required artifacts, validating outputs, enforcing format rules).
- Write deterministic Python verifier scripts that check completion via final state or output validation (files, directories, content assertions).
- Design prompts/tasks that reliably elicit the target workflow behavior while avoiding leakage of internal instructions or implementation details.
- Implement robust error handling and actionable failure messages in verification tooling.
- Develop plausible but ineffective "baseline" or "distractor" approaches to confirm evaluation discrimination (i.e., the solution must use the intended approach).
- Maintain clean artifact hygiene: versionable structure, consistent naming, minimal ambiguity, and reproducible execution.
Ideal Qualifications:
- Strong Python skills (file system operations, parsing, validation, test-style assertions, deterministic execution).
- Experience with evaluation harnesses, automated grading, or QA-style verification (unit/integration test mindset).
- Familiarity with prompt design and LLM evaluation methodologies (closed-ended tasks, leakage avoidance, reliability testing).
- Comfort with structured specs and documentation conventions (Markdown, YAML frontmatter patterns, well-scoped requirements).
- Working knowledge of common developer tooling: Git, CLI workflows, virtual environments, dependency management.
- Bonus: embeddings/similarity concepts (e.g., cosine similarity) for "looks relevant but fails" negative-control design.
- Ability to communicate clearly and keep scope controlled without relying on domain-specific context.
SWE Expert $150/hr [ part time| Remote] immediate hiring in London employer: Mercor Ai
Contact Detail:
Mercor Ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SWE Expert $150/hr [ part time| Remote] immediate hiring in London
✨Tip Number 1
Network like a pro! Reach out to your connections and let them know you're on the hunt for a SWE Expert role. You never know who might have the inside scoop on openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews by practising common technical questions and coding challenges. We recommend using platforms that simulate real interview scenarios to boost your confidence and sharpen your skills.
✨Tip Number 3
Showcase your projects! Whether it's on GitHub or your personal website, having a portfolio of your work can really set you apart. Make sure to highlight any Python scripts or automation tools you've developed.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace SWE Expert $150/hr [ part time| Remote] immediate hiring in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight how your skills and experiences align with the job description. We want to see how you can convert high-level objectives into clear deliverables, so don’t hold back!
Show Off Your Python Skills: Since strong Python skills are a must-have, include examples of your work that demonstrate your expertise in file system operations, validation, and test-style assertions. We love seeing real-world applications of your coding prowess!
Keep It Clear and Structured: When writing your application, use clear and structured documentation. This is key for us to understand your thought process and how you approach problem-solving. Think Markdown or YAML – we appreciate a well-organised application!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Mercor Ai
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially around file system operations and validation. Be ready to discuss how you've used Python in past projects, particularly in creating scripts for automation or verification.
✨Understand the Job Requirements
Familiarise yourself with the key responsibilities listed in the job description. Think about how your previous experiences align with converting high-level objectives into testable deliverables and creating structured documentation.
✨Prepare for Technical Questions
Expect questions that dive deep into your experience with evaluation harnesses and automated grading. Be prepared to explain your approach to error handling and how you ensure clean artifact hygiene in your work.
✨Communicate Clearly and Concisely
Practice explaining complex concepts in simple terms. Since the role requires clear communication without relying on domain-specific jargon, think of examples where you've successfully done this in the past.