Remote Physics Expert

Ai, Inc
Santa Rosa, CA, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$41,600.0 - $104,000.0
Working hours
Regular working hours

Tech stack

Training Data Artificial Intelligence Data Auditing Reinforcement Learning

Requirements

Physics Expert Required Skills physics research analysis scientific writing critical thinking problem-solving data analysis question and exam creation remote collaboration time management analytical reasoning technical document synthesis ai training content development interdisciplinary teamwork attention to detail independent work digital content creation About micro1 micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale. Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Description Job Title: Physics ExpertJob Type: ContractorLocation: RemoteRate: 20$-50$ per taskJob Summary: In this role, you’ll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters.Key Responsibilities:Thoroughly analyze, interpret, and summarize complex physics documents and research papers.Create and review high-quality questions and problems related to diverse physics topics for AI model training.Extract key data, perform detailed computations, and validate analytical solutions in various physics domains.Deliver clear, concise written explanations and rationales for technical problems and solutions.Collaborate with a multidisciplinary remote team while maintaining independence in daily work.Leverage your specialist expertise to ensure accuracy and depth in all content generated or reviewed.Maintain a high standard of quality and consistency while meeting ongoing deadlines.Required Skills and Qualifications:2+ years of professional experience in physics or a closely related field, either in academia or a lab/workplace setting.Exceptional written and verbal English communication skills, with strong attention to detail.Proven ability to read, analyze, and synthesize technical documents and research literature.Demonstrated experience creating, editing, or reviewing scientific questions, exams, or technical exercises.Ability to work independently and proactively with minimal supervision in a remote setting.Excellent critical thinking and analytical skills for data evaluation and problem solving.Strong time management abilities to handle multiple tasks efficiently.Preferred Qualifications:Advanced degree (MSc, PhD) in Physics or a related discipline.Experience interfacing with AI, EdTech, or digital content creation projects.Familiarity with interdisciplinary scientific analysis and collaborative workflows.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on santarosajobs.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

2:20 min

Architecting language translation with focused training data

Jaroslaw Kutylowski Jaroslaw Kutylowski +1 · WWC 2023

3:16 min

Advantages of reproducible configurations and instantaneous rollbacks

Álvaro Martín Lozano · LIVE

1:45 min

Supervised, unsupervised, and reinforcement learning paradigms explained

Alexandra Waldherr · LIVE

2:01 min

Executing remote data exploration and model training

Mingshen Sun Mingshen Sun · WWC 2024

2:25 min

Meta's investment in Scale AI and training data

Damandeep Kochhar Damandeep Kochhar +4 · WWC Europe 2026

Videos

See all

Related articles

See all