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Posted 6 months ago

SWE Fellow - Human Frontier Collective (Canada)

@ Scale AI

Canada

5+ years experience
Apply now
SIGNALS

Overview

Scale AI is hiring SWE Fellows for its Human Frontier Collective in Canada. The fellows design, evaluate and interpret advanced generative AI systems, and co-author research papers with Scale's research team. The role is fully remote, a six-month 1099 independent contractor position with flexible 10 to 40 hour weeks and project-based pay.

Responsibilities:

  • Design complex, domain-specific problems and datasets to evaluate AI models
  • Provide expert insights to improve AI accuracy, reasoning and performance
  • Engage in high-impact projects with partnered AI labs and platforms
  • Co-author technical reports and research papers with Scale's research team

Requirements summary:

  • 5+ years of software engineering or related technical experience, or equivalent academic expertise (PhD, postdoctoral research or faculty)
  • Deep expertise in Python, Java, Rust, Swift, JavaScript or C++
  • Demonstrated coding proficiency and analytical abilities
  • Authorized to work in Canada; no visa sponsorship

Tools & skills

Source and dates

Employer career site / ATS feed · greenhouse

Employer posting date
2026-04-29
First seen by our source
2026-10-08
Source record updated
2026-11-05

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SenioritySenior
DepartmentSoftware development
Experience5+ years
Travelair: none · ground: none
Work settingHome
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
EducationDoctorate (preferred)
Fields of studyComputer Science
Perks mentionedFlexible hours

Summary and details written by AI from the posting; the employer’s posting is the authority.

Scale AI

Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

Making AI work since 2016

Full company description

Scale’s mission is to develop reliable AI systems for the world’s most important decisions. We provide the high-quality data and full-stack technologies that power the world’s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. The Scale Generative AI Platform allows customers to build, evaluate, and control advanced AI agents and applications that continuously improve. The Scale Data Engine provides the technology to collect, curate, and annotate high-quality datasets. Through our Safety, Evaluations, and Alignment Lab (SEAL), we test models with rigorous benchmarks and novel research to ensure breakthroughs translate into systems people can trust. Scale powers the most advanced LLMs and generative models in the world through RLHF, data generation and model evaluation. We work with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.

LinkedIn followers
330,829
People associated on LinkedIn
6,080
Reported office locations
  • 303 2nd St, South Tower, 5th FL, San Francisco, California 94107, US
Business categories
  • Artificial Intelligence
  • Generative AI
  • SaaS
  • Data Collection and Labeling
  • Artificial Intelligence (AI)
  • Image Recognition
  • AI Infrastructure
  • Machine Learning
Other recorded names
  • Scale AI
Specialties
  • Computer Vision
  • Data Annotation
  • Sensor Fusion
  • Machine Learning
  • Autonomous Driving
  • APIs
  • Ground Truth Data
  • Training Data
  • Deep Learning
  • Robotics
  • Drones
  • NLP
  • and Document Processing
Profile identifies a recruitment agency
No
Reported total investment
15,902,620,000

Currency and observation date were not supplied; this is not a current valuation or a funding round.

Scale’s mission is to develop reliable AI systems for the world’s most important decisions. We provide the high-quality data and full-stack technologies that power the world’s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. The Scale Generative AI Platform allows customers to build, evaluate, and control advanced AI agents and applications…

FieldValue
IndustrySoftware Development
Company size501-1,000 employees
HeadquartersSan Francisco, California
Organization typePrivately Held
Year founded2016
SpecialtiesComputer VisionData AnnotationSensor FusionMachine LearningAutonomous DrivingAPIsGround Truth DataTraining DataDeep LearningRobotics
Open jobs on Jobsy4
LinkedInView page
Job description

PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in Canada; visa sponsorship is not available for this role.

About the Program

The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.

What You'll Do

  • Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex, domain-specific problems and datasets to rigorously evaluate AI models, and provide expert insights that enhance their accuracy, reasoning, and overall performance.
  • Join the HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
  • Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition.

Who Should Apply

  • Professional and Academic Background: 5+ years of software engineering or related technical experience, or equivalent domain expertise through academic work (e.g. PhD, postdoctoral research, or faculty experience in Computer Science or related field).
  • Skills: Demonstrated coding proficiency and analytical abilities, with deep expertise in one or more of the following programming languages: Python, Java, Rust, Swift, JavaScript, or C++.
  • Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration.

Why Join the HFC?

  • Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology.
  • Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions.
  • Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.
  • Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location.

Application Process

  1. Apply: We review applications on a rolling basis.
  2. Interview: Candidates will meet with the HFC team to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI.
  3. Join the Collective: Successful candidates will receive an invitation to join the Human Frontier Collective Fellowship.

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst& Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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All of CanadaRemote · Hybrid · On-site · Field

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