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Contract Ai Safety Jobs (NOW HIRING)

Biology PhD - AI Safety Expert

New York, NY ยท On-site +1

$65 - $70/hr

Contract Compensation: $65-$70/hour Location: Remote Commitment: 15-25 hours/week, with flexibility up to 40 hours/week Role Responsibilities * Write expert-level prompts across specialized life ...

Chief of Staff

San Francisco, CA ยท On-site

$220K - $345K/yr

The Center for AI Safety (CAIS) is a leading research and advocacy organization focused on ... Represent the President externally on partnership, contract, and stakeholder conversations * Build ...

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Contract Ai Safety information

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$10

$32

$58

How much do contract ai safety jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for contract ai safety in the United States is $32.38, according to ZipRecruiter salary data. Most workers in this role earn between $25.48 and $39.18 per hour, depending on experience, location, and employer.

What are Contract AI Safety professionals?

Contract AI Safety professionals are experts hired on a contractual basis to assess, manage, and mitigate risks associated with the development and deployment of artificial intelligence systems. They typically work with companies or organizations to ensure that AI technologies are safe, ethical, and compliant with relevant regulations. Their responsibilities may include conducting safety assessments, implementing best practices, and advising teams on AI risk management. Unlike permanent employees, contract professionals are usually brought in for specific projects or periods where specialized AI safety expertise is needed.

What are the key skills and qualifications needed to thrive as a Contract AI Safety Specialist, and why are they important?

To thrive as a Contract AI Safety Specialist, you need a strong understanding of machine learning algorithms, risk assessment, and ethical AI principles, often supported by a degree in computer science or a related field. Familiarity with AI development frameworks (such as TensorFlow or PyTorch), knowledge of regulatory guidelines, and certifications in AI ethics or safety are commonly required. Excellent analytical thinking, problem-solving abilities, and clear communication skills help convey complex safety concerns to diverse stakeholders. These skills ensure the development and deployment of AI systems that are secure, ethical, and aligned with organizational and societal values.

What is the difference between Contract Ai Safety vs Contract Machine Learning Engineer?

AspectContract Ai SafetyContract Machine Learning Engineer
Required CredentialsBackground in AI safety, ethics, or related fields; often requires certifications in AI safety or ethicsDegree in Computer Science, Data Science, or related; certifications in ML or data engineering
Work EnvironmentFocus on safety protocols, risk assessment, and ethical considerations in AI deploymentDeveloping, testing, and deploying machine learning models in various applications
Employer & Industry UsageTech companies, research labs, organizations emphasizing AI safety and ethicsTech firms, startups, and industries deploying ML solutions across sectors

Contract Ai Safety roles primarily focus on ensuring AI systems are safe, ethical, and aligned with human values, often requiring specialized knowledge in AI safety protocols. In contrast, Contract Machine Learning Engineer roles concentrate on building and optimizing ML models. While both roles involve AI, their core responsibilities and required expertise differ significantly.

What are some common challenges faced by professionals in contract AI safety roles, and how can they effectively address them?

Professionals in contract AI safety roles often encounter challenges such as quickly adapting to new organizational processes, working with incomplete or ambiguous project requirements, and collaborating remotely with cross-functional teams. To address these challenges, it's important to establish clear communication channels, proactively seek clarification on project goals, and stay updated on the latest AI safety research and best practices. Networking with in-house experts and participating in regular check-ins can also help ensure alignment and successful project outcomes.
More about Contract Ai Safety jobs
What cities are hiring for Contract Ai Safety jobs? Cities with the most Contract Ai Safety job openings:
What are the most commonly searched types of Ai Safety jobs? The most popular types of Ai Safety jobs are:
What states have the most Contract Ai Safety jobs? States with the most job openings for Contract Ai Safety jobs include:
Infographic showing various Contract Ai Safety job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $67,344 per year, or $32.4 per hour.
AI Safety Expert - Red Team

AI Safety Expert - Red Team

Mercor

New York, NY โ€ข Remote

$20 - $22/hr

Full-time

Posted 7 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: AI Safety Experts โ€” English & Bengali
Type: Contract
Compensation: $20โ€“$22/hour
Location: Remote

Role Responsibilities

  • Red team conversational AI models and agents. Focus on jailbreaks, prompt injections, misuse cases, and bias exploitation.
  • Generate high-quality human data. Annotate failures, classify vulnerabilities, and flag systemic risks.
  • Apply structure using taxonomies, benchmarks, and playbooks for consistent testing.
  • Document reproducibly. Produce reports, datasets, and attack cases for customer action.
  • Work independently and asynchronously. Ensure flexibility and adaptability across projects.

Qualifications

Must-Have

  • Fluent in English and Bengali.
  • Prior red teaming experience in AI adversarial work, cybersecurity, or socio-technical probing.
  • Strong communication skills for explaining risks to technical and non-technical stakeholders.

Preferred

  • Experience with adversarial ML, cybersecurity, and socio-technical risk.
  • Skills in creative probing like psychology, acting, or writing for unconventional adversarial thinking.

Application Process (Takes 20โ€“30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.