ChatGPT Jobs
PhD Computer Science Expert for AI Training

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
PhD Computer Science Expert for AI Training
Job Description
Job Listing: Computer Science Expert
Computer Science Expert (PhD Required) - AI Training & Evaluation
Location: Remote (Candidates must be located in: United States, Canada, Puerto Rico, Mexico, Great Britain, Australia, New Zealand, or Argentina)
Machine Learning & Artificial Intelligence
Discover more
Software
machine learning
Programming
Type: Fully Remote Freelance (Non-exempt)
Science
Start Date: Immediate
Duration: Through end of June (with potential extensions)
Job Summary
An enterprise client seeks highly technical Computer Science Experts with PhDs to support the training and evaluation of advanced AI models. The role involves evaluating AI-generated responses, developing domain-specific prompts, and assessing technical accuracy across complex Computer Science topics to improve generative AI systems.
Discover more
Web Design & Development
jobs
Work & Labor Issues
Key Responsibilities
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.
Start with a chat, not a search bar
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.
See breakdownIt 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.
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.
- 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.
Required Qualifications
- Education: PhD in Computer Science or a closely related technical field.
- Experience: Proven experience working as a software engineer, researcher, or in another highly technical/analytical role.
- Skills: Strong technical reasoning, attention to detail, and ability to assess complex AI-generated outputs.
- Language: Native or fluent English communication skills (written and verbal).
Preferred Backgrounds & Nice-to-Haves


Get help with your application
Your very own career expert that helps elevate your application to the next level.
- Fields: Software Engineering, Machine Learning, Cybersecurity, Distributed Systems, Computational Science, Information Theory, Quantitative Finance (Highly Preferred), Statistics, Electrical & Computer Engineering, Technical Research or Academia.
- 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 (e.g., ML, distributed systems, cybersecurity).
Compensation & Working Conditions
- Rate: Up to $150 USD per hour (based on project participation).
- Payment Method: Weekly lump-sum payments issued for completed work.
- Hours: Flexible working hours; no guaranteed weekly hours or task volume.
- Onboarding: Selected candidates will receive instructions after acceptance (do not create a private Outlier profile initially).
“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.”
Jessica, London
Skills
Location