Software developer, sports content Work, Jobs (with Salaries)

Remote Software Engineer – AI Research & Evaluation
Turing —Remote
- £200 - £300 an hour
- Remote
- Java
- C++
- JavaScript
- Annual leave
Quick apply
6d
Remote Software Engineer
Turing —Remote
- £200 - £300 an hour
- Remote
- Java
- C++
- JavaScript
- Annual leave
Quick apply
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Graduate Programme 2027: Software Engineer (Frontend)
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- £18,400 a month
- Full-time
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- English
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Content Designer
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- Communication skills
- Annual leave
- Employee assistance programme
Quick apply
5d
Web Developers (Remote Position)
WizzHosting —London
- Monday to Friday
- Remote
- HTML
Software Developer, Sports Content
bet365 —Manchester
- Full-time
- Hybrid work
- SQL
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Quick apply
Front End Developer
Rrecruiters consulting —Remote
- £33 - £43 an hour
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- Remote
- Doctoral degree
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- No experience needed
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Remote JavaScript/React Engineer
Turing —Remote
- £200 - £300 an hour
- Remote
- Java
- C++
- JavaScript
- Annual leave
Quick apply
6d
C++ Software Developer
Durlston Partners —London
- Up to £200,000 a year
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Frontend Developer - HTML, CSS, JavaScript, jQuery
Kate Matthews Solutions —London
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Staff+ Software Engineer, Developer Productivity
Anthropic —London
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- Bachelor's degree
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Durlston Partners —London
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Junior Front-end Developer Role
Syrox Emedia —Kingston upon Thames
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Software Engineer
Fanvue —London
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Byte9 —London
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Software Engineer - Brookhaven
Voldex Games —London
- Full-time
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Graduate Software Developer
TPP —Leeds
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Frontend Developer
Durlston Partners —London
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Graduate Programme 2027: Software Engineer (Python)
Revolut —London
- £18,400 a month
- Full-time
- Hybrid work
- Computer Science
- English
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Software Engineer - AI Trainer - Remote - 8/20 hrs week - Freelance
10x Team —London
- £60 - £110 an hour
- Remote
- AI
Quick apply

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Remote Software Engineer – AI Research & Evaluation

Turing -
Remote

Quick apply

Job details

Fixed term contract
£200 - £300 an hour
6 days ago

Benefits

Annual leave

Qualifications

Rust (programming language)
Go
React
Java
Profit & loss
C++
C
JavaScript
Back-end development
APIs
AI
Communication skills
Python
Debugging

Full job description

About Us:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Ideal Background:

This role is ideal for engineers who have shipped high-impact products at fast-moving companies like Stripe, Airbnb, Cloudflare, Datadog, Coinbase, or similar high-growth engineering environments. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions — though exceptional experience and skill always take precedence over pedigree.

Project Overview:

As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS) — with particular emphasis on systems-level code, performance-critical applications, and infrastructure. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions.

What Does a Typical Day Look Like?

Work on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS).
Evaluate and refine AI-generated code with an emphasis on systems-level correctness, performance, and reliability.
Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
Build agents that can verify the quality of systems-level and infrastructure code and identify error patterns.
Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them.
Design verification mechanisms that can automatically verify a solution to a software engineering task.

Required Skills:

Several years of software engineering experience (3 years or more).
Strong expertise in systems programming, infrastructure, or backend development using languages like Python, C/C++, Rust, and Go.
Experience building and deploying scalable, production-grade software using modern languages and tools.
Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.
Excellent oral and written communication skills for clear, structured evaluation rationales.

Engagement Details:

Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week.
Type: Contractor (no medical/paid leave).
Duration: 1 month (potential extensions based on performance and fit).
Location: Candidates must be based in the United States.

Evaluation Process:

The application process takes 15–30 minutes.
Completion of an AI video interview is required.

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Quick apply

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