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Copy of PhD Computer Science Expert for AI Training

London
$150.00/hr
Posted about 1 month ago
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Copy of PhD Computer Science Expert for AI Training

An enterprise client is seeking highly technical Computer Science Experts with PhDs to support the training and evaluation of advanced AI models. This initiative focuses on improving the accuracy, reasoning, and domain expertise of generative AI systems through expert human feedback.

The selected candidates will contribute to the company's large AI training project by evaluating AI-generated responses, developing domain-specific prompts, and assessing technical accuracy across complex Computer Science topics. This is a fully remote, freelance opportunity with flexible working hours and the potential for ongoing work beyond the initial project timeline.

Job Description

This opportunity is ideal for highly analytical professionals with advanced academic or industry experience in Computer Science or related technical fields.

What You'll Do:

Assess the factual accuracy, relevance, and quality of AI-generated Computer Science content Craft and answer domain-specific questions related to Computer Science and adjacent technical disciplines Evaluate and rank AI-generated responses based on technical correctness and reasoning quality Provide expert-level feedback to improve AI model performance and domain understanding Support AI training initiatives by applying research, analytical thinking, and technical expertise

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.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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It searches the market for you

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.

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Strong

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.

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Strong

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.

This role is a strong fit for professionals with backgrounds in:

Computer Science Software Engineering Machine Learning Cybersecurity Distributed Systems Computational Science Information Theory Quantitative Finance (highly preferred) Statistics Electrical & Computer Engineering Technical Research or Academia

Qualifications

Requirements:

Native or fluent English communication skills (written and verbal) PhD in Computer Science or a closely related technical field Experience working as a software engineer, researcher, or in another highly technical or analytical role Strong technical reasoning and attention to detail Ability to assess complex AI-generated technical outputs with accuracy and consistency

Nice to Haves:

Strong academic or industry research background Experience reviewing technical content, publications, or research outputs Familiarity with AI systems, large language models, or AI evaluation workflows Experience in advanced Computer Science domains such as machine learning, distributed systems, or cybersecurity

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Additional Information

Fully remote freelance opportunity with flexible working hours Work is expected to begin immediately and continue through the end of June, with potential extensions Compensation: Up to $150 USD per hour based on project participation Weekly lump-sum payments issued for completed work tracked within the client platform No guaranteed hours or task volume; work availability may vary weekly Candidates must be physically located in one of the following regions: United States, Canada, Puerto Rico, Mexico, Great Britain, Australia, New Zealand, or Argentina Selected candidates will receive onboarding instructions and platform access after acceptance Candidates should not independently create an Outlier profile prior to onboarding

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Skills

Computer Science
Software Engineering
Machine Learning
Cybersecurity
Distributed Systems
Computational Science
Information Theory
Quantitative Finance
Statistics
Electrical Engineering
Technical Research
Academia

Location

London, England, United Kingdom

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