Prolific

1 month ago

Applied Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Lead applied ML work to improve data quality, judgement aggregation, and AI evaluation workflows. Design experiments, benchmarks, and reliability tests; apply classical ML, statistics, and LLM/agentic techniques to real customer contexts; prototype solutions with modern AI tools; collaborate with product and engineering to translate methods into scalable platform capabilities.

Location: London

Workplace: Remote

Employment Type: Contract · 12 months

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Prototype AI/ML methods to improve human data quality, judgement aggregation, and AI evaluation workflows.
•Design experiments, benchmarks, and reliability tests to measure whether new methods improve quality, efficiency, or customer outcomes.
•Apply classical ML, statistics, LLMs, and agentic techniques where they create practical value.
•Use modern AI tools to accelerate prototyping, experimentation, and iteration.
•Partner closely with product and engineering to translate scientific methods into scalable platform capabilities.

Pay and Benefits

Perks:Remote Work

Key Requirements

•PhD or MSc in Computer Science, Mathematics, Statistics, Machine Learning, or a related field.
•3+ years of applied ML, AI research, or data science experience with demonstrated real-world impact.
•Experience with human-in-the-loop AI systems, including RLHF, annotation pipelines, data quality modelling, judgement aggregation, benchmarks, or AI evaluation.
•Fluency with modern LLM and agentic techniques, such as Retrieval-Augmented Generation (RAG), LLM-as-judge, multi-agent workflows, synthetic data generation, and automated quality review.
•Strong Python skills and the ability to quickly build, test, and iterate on working prototypes.

Experience:3+ yearsAIMachine learningData science

Education:Master's

Skills:CommunicationCollaborationProblem-solvingTeamwork

Languages:English

Tech Stack:PythonLLMsRAGMulti-agentAnnotation pipelinesRLHF

Company Brief

Prolific

Operates an online participant recruitment platform connecting researchers and companies with vetted participants for academic and market research studies, offering survey hosting, participant management, and data quality tools.

Industry: SaaS

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: Oxford, United Kingdom

Founded: 2014

Website LinkedIn

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Prolific

1 month ago

Applied Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: London

Workplace: Remote

Employment Type: Contract · 12 months

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Prototype AI/ML methods to improve human data quality, judgement aggregation, and AI evaluation workflows.
•Design experiments, benchmarks, and reliability tests to measure whether new methods improve quality, efficiency, or customer outcomes.
•Apply classical ML, statistics, LLMs, and agentic techniques where they create practical value.
•Use modern AI tools to accelerate prototyping, experimentation, and iteration.
•Partner closely with product and engineering to translate scientific methods into scalable platform capabilities.

Pay and Benefits

Perks:Remote Work

Key Requirements

•PhD or MSc in Computer Science, Mathematics, Statistics, Machine Learning, or a related field.
•3+ years of applied ML, AI research, or data science experience with demonstrated real-world impact.
•Experience with human-in-the-loop AI systems, including RLHF, annotation pipelines, data quality modelling, judgement aggregation, benchmarks, or AI evaluation.
•Fluency with modern LLM and agentic techniques, such as Retrieval-Augmented Generation (RAG), LLM-as-judge, multi-agent workflows, synthetic data generation, and automated quality review.
•Strong Python skills and the ability to quickly build, test, and iterate on working prototypes.

Experience:3+ yearsAIMachine learningData science

Education:Master's

Skills:CommunicationCollaborationProblem-solvingTeamwork

Languages:English

Tech Stack:PythonLLMsRAGMulti-agentAnnotation pipelinesRLHF

Company Brief

Prolific

Industry: SaaS

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: Oxford, United Kingdom

Founded: 2014

Website LinkedIn