Weekday, Inc. Logo

Weekday, Inc.

Physics Subject Matter Expert (AI Training)

Reposted 22 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
20-40 Hourly
Mid level
Remote
Hiring Remotely in United States
20-40 Hourly
Mid level
Evaluate and annotate physics content, create problem sets and technical documentation, and assess AI-generated responses for scientific accuracy. Contribute to dataset creation and provide expert feedback to improve AI model training. Collaborate remotely with project teams to ensure timely, high-quality deliverables and improve evaluation methodologies.
The summary above was generated by AI

This role is for one of our clients

$20 - $40/hourpay

Role Title: Physics Subject Matter Expert (AI Training)

Role Type: Contractor

Location: Remote

We are seeking a Physics Subject Matter Expert to contribute to the development of next-generation AI systems by applying deep expertise in physics. In this role, you will evaluate scientific content, develop high-quality technical materials, and help improve AI models through accurate, well-structured, and domain-specific input. Prior experience in AI is not required—your knowledge of physics and scientific reasoning is the key qualification.


RequirementsKey ResponsibilitiesScientific Content Review
  • Evaluate and annotate scientific data, equations, and experimental findings across various physics disciplines.
  • Review technical content for scientific accuracy, clarity, completeness, and logical consistency.
  • Provide expert feedback to improve the quality of physics-related content used in AI training.
Content Development
  • Create and review problem sets, technical explanations, research summaries, and analytical write-ups covering both foundational and advanced physics concepts.
  • Develop clear, well-structured documentation that enables AI models to better understand scientific principles and reasoning.
  • Author or edit experimental descriptions and technical reports with precision and attention to detail.
AI Model Evaluation
  • Assess AI-generated responses for technical correctness, logical reasoning, and scientific rigor.
  • Identify inaccuracies, ambiguities, or gaps in AI-generated physics content and provide actionable recommendations for improvement.
  • Contribute to the creation and refinement of high-quality datasets used for AI training and benchmarking.
Collaboration & Continuous Improvement
  • Work collaboratively with project managers and subject matter experts in a remote environment.
  • Identify opportunities to improve data quality, content coverage, and evaluation methodologies.
  • Ensure timely delivery of high-quality work aligned with project milestones and quality standards.
Required Skills & Qualifications
  • Bachelor's, Master's, or PhD in Physics or a closely related field.
  • Strong understanding of Classical Mechanics, Electromagnetism, Thermodynamics, Quantum Mechanics, Modern Physics, and related concepts.
  • Experience writing research papers, technical reports, experimental documentation, or scientific publications.
  • Excellent analytical, problem-solving, and critical thinking abilities.
  • Strong written and verbal communication skills with the ability to explain complex scientific concepts clearly.
  • Ability to work independently and effectively in a remote, collaborative environment.
Preferred Qualifications
  • Experience with data analysis, computational physics, experimental design, or scientific modeling.
  • Ability to communicate complex physics concepts to both technical and non-technical audiences.
  • Experience reviewing scientific literature, technical documentation, or research publications.
  • Familiarity with collaborative research environments and remote project execution.
  • Passion for scientific research, education, and advancing AI through domain expertise.
Must-Have Skills
  • Physics
  • Scientific Research
  • Technical Writing
  • Data Analysis
  • Problem Solving
Good-to-Have Skills
  • Computational Physics
  • Experimental Design
  • Research Publications
  • Scientific Documentation
  • Mathematical Modeling
  • Analytical Thinking
  • Technical Review
  • Remote Collaboration

Similar Jobs

An Hour Ago
Remote or Hybrid
Junior
Junior
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Conduct third-party due diligence and compliance screenings, coordinate escalations, monitor screening systems, and ensure adherence to laws and company policies. The role also develops ethics and compliance training, collaborates cross-functionally, and drives data analytics and insights for the Third Party Risk and Digital Compliance team.
2 Hours Ago
Remote or Hybrid
Junior
Junior
AdTech • Big Data • Digital Media • Software
Designs and reviews security architecture, performs threat modeling and cloud assessments, responds to incidents, manages security tools, and advises engineering teams on secure development. Conducts code and vulnerability reviews using OWASP and MITRE ATLAS, evaluates AI and LLM security risks, and supports security monitoring, risk assessment, data protection, and compliance across applications, infrastructure, and endpoints.
Top Skills: AWSC++DastGoogle SecopsHmacIso 27001IspmJavaLinuxmacOSMitre AtlasNist CsfOauthOwaspOwasp Top 10 For LlmsPythonSAMLSastScalaSoc 1Soc 2SoxSplunkTenable CloudWazuhWindows
4 Hours Ago
Remote or Hybrid
United States
Senior level
Senior level
Fintech • Legal Tech • Software • Financial Services • Cybersecurity • Data Privacy
Leads the architecture, design, deployment, and operation of enterprise middleware messaging and streaming integrations. Designs multi-region, multi-datacenter platforms with geo-replication, failover, high availability, fault tolerance, and low-latency performance. Evaluates messaging technologies, establishes deployment and monitoring standards, automates infrastructure, collaborates with stakeholders, and mentors junior engineers. The role requires extensive experience with Kafka, RabbitMQ, cloud messaging services, Kubernetes, Docker, clustered environments, and resilient high-volume systems.
Top Skills: ActivemqApache KafkaAws SnsAws SqsAzure Service BusDockerElasticGcp Pub/SubIbm MqKafka StreamsKubernetesRabbitMQRedpandaStreamnative

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account