Top 24 Evergreen Frontier Jobs

Research, Pre-Training Data
Thinking Machines —San Francisco, CA
- $350,000 - $475,000 a year
- Computer science
- Computer Science
- Mid-level
- Paid parental leave
- Dental insurance
Medical Records / Admissions Clerk
Frontier Rehabilitation and Extended Care —Longview, WA
- $21.00 - $26.23 an hour
- Full-time
- Skilled nursing facility
- High school diploma or GED
- Rehabilitation center
- Health insurance
- Dental insurance
Quick Apply
8d
Research, Post-Training Data
Thinking Machines —San Francisco, CA
- $350,000 - $475,000 a year
- Computer science
- Computer Science
- Math
- Paid parental leave
- Dental insurance
Crew Scheduler
Frontier Airlines, Inc —Denver, CO
- Extended hours
- Microsoft Outlook
- Word processing
- Office
- Paid holidays
- Health insurance
AI Emerging Risks Analyst
OpenAI —San Francisco, CA
- $198,000 - $320,000 a year
- Full-time
- 5 years
- Analysis skills
- Fair chance
Research, Vision Expertise
Thinking Machines —San Francisco, CA
- $350,000 - $475,000 a year
- Computer science
- Computer Science
- Bachelor's degree
- Paid parental leave
- Dental insurance
Research, Audio Expertise
Thinking Machines —San Francisco, CA
- $350,000 - $475,000 a year
- Computer science
- Computer Science
- Mid-level
- Paid parental leave
- Dental insurance
Aircraft Appearance Agent
Frontier Airlines, Inc —Denver, CO
- Overtime
- High school diploma or GED
- Driver's License
- Driving
- Paid holidays
- Health insurance
Research Product Manager
Thinking Machines —San Francisco, CA
- $175,000 - $475,000 a year
- Computer science
- Computer Science
- Doctor of Philosophy
- Paid parental leave
- Dental insurance
Developer Education Lead
OpenAI —San Francisco, CA
- $198,000 - $335,000 a year
- Full-time
- 7 years
- Writing skills
- APIs
Software Engineer, Systems Generalist
Thinking Machines —San Francisco, CA
- $350,000 - $475,000 a year
- Computer science
- Computer Science
- Mid-level
- Paid parental leave
- Dental insurance
Reliability Engineer, Supercomputing
Thinking Machines —San Francisco, CA
- $350,000 - $475,000 a year
- Computer science
- Computer Science
- Writing skills
- Paid parental leave
- Dental insurance
Sr Coordinator - Marketing
Frontier Airlines, Inc —Denver, CO
- Marketing
- Writing skills
- Mid-level
- Paid holidays
- Health insurance
Activities Assistant
Frontier Rehabilitation and Extended Care —Longview, WA
- Full-time
- Rehabilitation center
- Communication skills
- Entry level
- Health insurance
- Dental insurance
Quick Apply
Solution Manager
Imubit —Houston, TX
- Remote
- 5 years
- Bachelor of Science
- Presentation skills
Director, Media Relations and Communications
Chan Zuckerberg Initiative —Redwood City, CA
- $193,000 - $265,100 a year
- Hybrid work
- Office
- Senior level
- Leadership
- Paid time off
- 401(k) matching
A&P Mechanic - LAS
Frontier Airlines, Inc —Las Vegas, NV
- Customer service
- Research
- Mid-level
- Paid holidays
- Health insurance
Special Education Paraeducator (9924 Sped)
Evergreen Public Schools —Vancouver, WA
- $25.95 - $32.95 an hour
- Part-time
- Classroom
- 18 years or older
- Experience working with individuals with disabilities
- Health savings account
- AD&D insurance
Principal Solutions Architect (Req#1048)
ePlus Technology, inc. —San Ramon, CA
- $170,000 - $190,000 a year
- Computer Science
- Master's degree
- Presentation skills
- Employee stock purchase plan
- 401(k)
Social Media Manager, Kids
PragerU —Los Angeles, CA
- $75,000 - $95,000 a year
- Full-time
- Writing skills
- Mid-level
- 3 years
Quick Apply

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Research, Pre-Training Data

Thinking Machines -
San Francisco, CA

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Job Details

$350,000 - $475,000 a year

Benefits

Paid parental leave
Visa sponsorship
Unlimited paid time off
Dental insurance
Parental leave
Vision insurance

Qualifications

Software coding
AI platforms (beyond public GPTs)
Scalable systems
Computational framework
Machine learning libraries
Machine learning frameworks

Full Job Description

Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals.

We are scientists, engineers, and builders who’ve created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything.

About the Role

The role of pre-training researchers sits at the core of our roadmap. This work blends research with large-scale data engineering to help assemble the pre-training datasets and data systems that underpin the next generation of AI models. You’ll design and implement methods for sourcing, curating, and analyzing pre-training data for quality and performance.

You’ll work with automated pipelines and human-in-the-loop processes, contributing both scientific insight and production-grade code. It’s ideal for someone who enjoys working at the intersection of data, machine learning, and systems, and who’s excited by the challenge of shaping frontier AI.

This role blends fundamental research and practical engineering, as we do not distinguish between the two roles internally. You will be expected to write high-performance code and read technical reports. It’s an excellent fit for someone who enjoys both deep theoretical exploration and hands-on experimentation, and who wants to shape the foundations of how AI learns.

Note: This is an "evergreen role" that we keep open on an on-going basis to express interest in this research area. We receive many applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Still, we encourage you to apply. We continuously review applications and reach out to applicants as new opportunities open. You are welcome to reapply if you get more experience, but please avoid applying more than once every 6 months. You may also find that we put up postings for singular roles for separate, project or team specific needs. In those cases, you're welcome to apply directly in addition to an evergreen role.

What You’ll Do

Design and implement techniques for curating, sourcing, and filtering large-scale text, code, and multimodal data.
Develop data quality metrics and analysis to measure coverage, diversity, and representativeness across sources.
Collaborate with research and infrastructure teams to scale data processing systems efficiently and reproducibly.
Investigate and mitigate data risks, including privacy, safety, and licensing concerns, to ensure responsible and ethical data use.
Continuously evaluate dataset improvements by analyzing their downstream effects on model learning and behavior.
Publish and present research that moves the entire community forward. Share code, datasets, and insights that accelerate progress across industry and academia.

Skills and Qualifications

Minimum qualifications:

Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX). Comfortable with debugging distributed training and writing code that scales.
Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding.
Clarity in communication, an ability to explain complex technical concepts in writing.

Preferred qualifications — we encourage you to apply even if you don’t meet all preferred qualifications, but at least some:

A strong grasp of probability, statistics, and ML fundamentals. You can look at experimental data and distinguish between real effects, noise, and bugs.
Experience with curation, preprocessing, and analysis of large-scale text, code, or multimodal datasets.
Prior experience in data engineering, dataset construction, or large-scale web data processing for machine learning models.
Experience evaluating or improving training data quality and knowledge of data ethics, safety, and licensing frameworks relevant to AI dataset creation.
Contributions to open datasets, research publications, or data tooling.
PhD in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding; or, equivalent industry research experience.

Logistics

Location: This role is based in San Francisco, California.
Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.
Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Thinking Machines Lab will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the California Fair Chance Act, the San Francisco Fair Chance Ordinance, and any other applicable state or local fair chance ordinance or law.

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Refine Your Search

Evergreen Frontier jobs

Research, Pre-Training Data

Medical Records / Admissions Clerk

Research, Post-Training Data

Crew Scheduler

AI Emerging Risks Analyst

Research, Vision Expertise

Research, Audio Expertise

Aircraft Appearance Agent

Research Product Manager

Developer Education Lead

Software Engineer, Systems Generalist

Reliability Engineer, Supercomputing

Sr Coordinator - Marketing

Activities Assistant

Solution Manager

Director, Media Relations and Communications

A&P Mechanic - LAS

Special Education Paraeducator (9924 Sped)

Principal Solutions Architect (Req#1048)

Social Media Manager, Kids

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