Synthires
Senior Software Engineer (Remote | $100–$150/hr)

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Senior Software Engineer
Type: Contract (Part-Time)
Compensation: $100–$150/hour
Location: Remote
About the Opportunity
This opportunity is for experienced Senior Software Engineers with expertise in software development, algorithms, data structures, debugging, codebase refactoring, performance optimization, and modern programming languages to contribute to advanced AI training and evaluation projects.
You'll apply your software engineering expertise to create Reinforcement Learning (RL) environments that test AI models on realistic software engineering workflows, including DevOps, CI/CD, debugging, code optimization, and command-line development workflows.
You'll design reproducible environments, develop golden reference solutions, and create challenging engineering tasks that evaluate an AI model's ability to reason through complex software problems.
No prior AI experience is required. Your software engineering expertise and technical problem-solving skills are the primary qualifications for success in this role.
Responsibilities
- Design and develop Reinforcement Learning environments that evaluate AI models on realistic software engineering workflows.
- Create technical tasks involving debugging, feature implementation, code refactoring, performance optimization, and DevOps workflows.
- Build reproducible environments using tools such as Git, Docker, GDB, AddressSanitizer (ASan), FFmpeg, and other CLI tools.
- Develop and validate golden reference solutions for software engineering evaluation tasks.
- Apply expertise in algorithms, data structures, debugging, and performance tuning to create challenging technical scenarios.
- Evaluate AI-generated solutions for correctness, maintainability, performance, and robustness.
- Identify bugs, edge cases, implementation failures, and performance bottlenecks.
- Collaborate with technical teams to refine task specifications, evaluation criteria, and engineering workflows.
- Maintain high standards for reproducibility, technical accuracy, and evaluation quality.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Required Qualifications
- Strong proficiency in one or more of C++, Python, Java, Go, TypeScript, or Rust.
- Deep understanding of algorithms, data structures, software architecture, and performance optimization.
- Demonstrated experience debugging complex software issues and delivering maintainable solutions.
- Strong background in feature development, codebase refactoring, and software optimization.
- Experience working with development tools, command-line environments, and software engineering workflows.
- Excellent analytical, problem-solving, written, and verbal communication skills.
- Strong attention to detail and ability to work effectively in remote, cross-functional teams.


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Preferred Qualifications
- Experience working with large-scale or distributed codebases.
- Familiarity with DevOps, CI/CD, containerization, and production software environments.
- Experience with tools such as Git, Docker, GDB, ASan, FFmpeg, or similar developer tooling.
- Familiarity with AI, machine learning, reinforcement learning, or AI model evaluation.
- Experience participating in rigorous code reviews and software engineering quality initiatives.
- Background in developing technical benchmarks, evaluation frameworks, or reproducible engineering environments.
Compensation
- Competitive compensation of $100–$150/hour.
- Output-based contractor engagement.
- Part-time commitment of approximately 15 hours per week.
- Fully remote opportunity.
Application Process
- Easy Apply on LinkedIn
- Complete the required screening questions
- Participate in an AI interview (approximately 30 minutes)
- Complete a technical assessment, if required
- Hiring Manager review
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
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