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Ai Researcher Pre Doctoral Jobs (NOW HIRING)

Mass General Brigham

Pre-Doctoral Fellow

Boston, MA · On-site

$20.16 - $29.01/hr

This research is conducted independently under the supervision of the principal investigator and focuses on transplantation immunology. Research projects will prepare the incumbent to work fully ...

1X Technologies AS

AI Researcher

San Carlos, CA · On-site

$250K - $350K/yr

About the Lab The 1X World Model Lab is an embodied AI research organization focused on pretraining ... Evaluations Build the evaluation infrastructure that connects pre-training metrics to real-world ...

Workday

Principal AI Researcher

Pleasanton, CA

About the Team Workday AI Research is a newly built, elite organization dedicated to advancing the ... Advance Workday's proprietary capabilities in pre-training, post-training (RLHF, DPO), and domain ...

Workday

Principal AI Researcher

Atlanta, GA

About the Team Workday AI Research is a newly built, elite organization dedicated to advancing the ... Advance Workday's proprietary capabilities in pre-training, post-training (RLHF, DPO), and domain ...

Workday, Inc.

Principal AI Researcher

Pleasanton, CA · On-site

About the Team Workday AI Research is a newly built, elite organization dedicated to advancing the ... Advance Workday's proprietary capabilities in pre-training, post-training (RLHF, DPO), and domain ...

Workday

Principal AI Researcher

Seattle, WA · On-site

About the Team Workday AI Research is a newly built, elite organization dedicated to advancing the ... Advance Workday's proprietary capabilities in pre-training, post-training (RLHF, DPO), and domain ...

Distyl AI

Applied AI Researcher, Benchmarking

New York, NY · On-site

$150K - $250K/yr

We research and deploy technologies that power AI-native operations - both for our partners and for ... Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter ...

Distyl AI

Applied AI Researcher, AI Systems

New York, NY · On-site

$150K - $250K/yr

We research and deploy technologies that power AI-native operations - both for our partners and for ... Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter ...

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Ai Researcher Pre Doctoral information

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How much do ai researcher pre doctoral jobs pay per year?

As of Sep 5, 2026, the average yearly pay for ai researcher pre doctoral in the United States is $113,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What is an AI Researcher Pre Doctoral?

An AI Researcher Pre Doctoral is an early-career research position typically designed for individuals who have recently completed their undergraduate or master's degrees and are considering pursuing a PhD in artificial intelligence or related fields. Pre-doctoral researchers work closely with senior scientists on cutting-edge AI projects, contributing to research papers, developing algorithms, and analyzing data. The role offers valuable hands-on experience, mentorship, and exposure to advanced research, helping candidates strengthen their academic and technical backgrounds before applying to doctoral programs.

What are the key skills and qualifications needed to thrive as an AI Researcher Pre Doctoral?

To thrive as an AI Researcher Pre-Doctoral, you need a strong background in mathematics, statistics, and computer science, typically supported by a bachelor's or master's degree in a related field. Experience with programming languages such as Python, machine learning frameworks (e.g., TensorFlow or PyTorch), and familiarity with research tools and academic publication standards are essential. Critical thinking, collaboration, and strong written and verbal communication skills are crucial for synthesizing research findings and working effectively within research teams. These skills enable you to contribute meaningful research, efficiently solve complex problems, and advance knowledge in the rapidly evolving field of AI.

What are the typical challenges faced by AI Researcher Pre Doctoral candidates when transitioning from academia to a research team in industry or a lab?

AI Researcher Pre-Doctoral candidates often find that moving from an academic setting to a professional research team involves adapting to faster-paced project timelines and more collaborative workflows. Unlike individual academic projects, industry or lab teams usually require frequent communication, aligning with broader organizational goals, and contributing to shared codebases. Balancing independent research with team-driven objectives and meeting set milestones can be challenging, but also offers valuable experience in real-world problem-solving and interdisciplinary collaboration. This environment helps candidates develop skills that are highly valued in both academia and industry, paving the way for future career growth.
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Ai Researcher Pre Doctoral jobs near you
Infographic showing various Ai Researcher Pre Doctoral job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $113,746 per year, or $54.7 per hour.

Applied AI Researcher

Morpheus Talent Solutions

Fremont, CA • On-site

Other

Posted 5 days ago

Key responsibilities

  • Design evaluations for generative, reasoning, tool-use, and agentic systems across modalities.

  • Own experimental design by hypothesizing model failures, building evaluations, and quantifying issues.

  • Build RL environments and reward signals in partnership with engineers.

Job description

Applied AI Researcher - Model Evaluation & Data Strategy


San Francisco (in-person preferred; open to remote across US, UK, Australia, and Europe) · Retained search - confidential client


The engagement

Morpheus has been exclusively retained to lead the search for a founding Applied AI Researcher on behalf of an early-stage, profitable AI research company.


About the client


An early-stage AI research company that works with leading AI labs to find where frontier models fail and build the expert human data that fixes them. They run a vetted network of 5,000+ top-1% specialists across finance, medicine, law, engineering, music, and other domains - competing on the quality of expert judgment, not the scale of cheap labeling.


Backed by a top pre-seed fund and angel investors who are founders and senior researchers at leading frontier AI labs. Already profitable.


The role


A founding, research-first seat - a genuine thought partner on evaluation and data strategy, not someone who coordinates other people's research, and not client-facing or delivery. You'll design evaluations, form and test hypotheses about model failure, and define the datasets, rubrics, reward signals, and quality controls that move performance - then work with engineers to turn them into scalable programs. Publishing is core to this role, not a perk - you'll be expected to author and present research that positions the company as a research partner to the field, so a prior publication record is essential.


What you'll do


  • Design evaluations for generative, reasoning, tool-use, and agentic systems across modalities - text, audio, vision - where technique and domain expertise differ meaningfully by modality.
  • Own real experimental design: hypothesize where a model breaks, build the eval to test it, and quantify what's actually failing.
  • Build RL environments and reward signals in close partnership with engineers.
  • Recommend SFT data, preference data, expert demonstrations, critiques, and eval sets.
  • Build quality systems - calibration, blind review, adjudication - that hold up in non-deterministic domains.
  • Run pilots that prove whether an intervention moves performance, and publish work that positions the company as a research partner to the field.


What the client is looking for


  • A track record of published research - you've authored papers at venues like NeurIPS, ICML, ICLR, ACL, or EMNLP (or comparable). This is a research seat with a mandate to publish, so a demonstrated publication record is essential.
  • Genuine experimental-design experience - you've designed studies and evals, not just executed someone else's rubric.
  • Comfort operating in non-deterministic domains and with novel, fast-moving research frameworks.
  • Agentic evaluation proficiency; RL environment experience, ideally built alongside engineers.
  • Cross-modal understanding - awareness that audio, text, and vision each demand different techniques.
  • Strong Python, model APIs, and structured datasets; solid grounding in benchmark design, human eval, rubric development, and statistical analysis.
  • Familiarity with SFT, preference optimization, RLHF/RLAIF, reward modeling, synthetic data, or LLM-as-a-judge.
  • Strong technical writing and the ability to drive ambiguous research independently.


Nice to have


Experience at an AI lab, foundation-model company, or post-training team; expert-data or human-eval program design; multimodal/coding/agentic eval work; public benchmarks or eval frameworks.


The reality - worth knowing up front


This is an early, high-momentum team that currently works a six-day week: Saturdays are fully remote and self-directed, no set hours - most people use them as a heads-down research day. Compensation is $200K-$350K base + equity; visa sponsorship available.


To apply


Apply here or message me directly. I represent this search exclusively and will share the company name, team, and full details confidentially with candidates who are a strong fit.

Apply