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Contract Ai Safety Jobs (NOW HIRING)

Mercor

AI Safety Red Teamer Expert

San Francisco, CA · On-site +1

$70 - $84/hr

Contract Compensation: $70-$84/hour Location: Remote Role Responsibilities * Design adversarial prompts to stress-test frontier AI models . * Identify jailbreaks, unsafe behaviors, hallucinations ...

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Weekday AI

Biology Expert (PhD) - AI Safety

$65 - $70/hr

This role is for one of our clients Compensation: $65-$70 per hour Join an advanced AI safety ... Contract & Payment Terms * Independent contractor engagement. * Fully remote with flexible working ...

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How much do contract ai safety jobs pay per hour?

As of Aug 14, 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 is a contract AI safety professional?

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 contract AI safety professionals, 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.
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Contract Ai Safety jobs near you
Infographic showing various Contract Ai Safety job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 2% Contract, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $67,344 per year, or $32.4 per hour.

AI Safety Red Teamer Expert

Mercor

San Francisco, CA • On-site, Remote

$70 - $84/hr

Full-time

Posted yesterday

New

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 Red Teamer
Type: Contract
Compensation: $70–$84/hour
Location: Remote

Role Responsibilities

  • Design adversarial prompts to stress-test frontier AI models.
  • Identify jailbreaks, unsafe behaviors, hallucinations, and policy failures.
  • Evaluate model robustness across misinformation, cyber, biosecurity, fraud, political content, and other sensitive domains.
  • Document vulnerabilities and contribute to safety benchmarking and red-teaming reports.
  • Collaborate with AI researchers to improve model alignment, robustness, and safety.

Qualifications

Must-Have

  • Bachelor's degree or higher in Computer Science, Cybersecurity, Journalism, Communications, Psychology, Biology, Chemistry, Public Policy, or a related discipline.
  • 5+ years of professional experience in AI Safety, AI Red Teaming, Trust & Safety, cybersecurity, investigative journalism, life sciences, or a related field.
  • Strong analytical reasoning, prompt design, and written communication skills.
  • Experience designing adversarial prompts or evaluating frontier AI systems.

Preferred

  • Experience with AI Red Teaming, RLHF, SFT, AI Alignment, or Trust & Safety.
  • Familiarity with jailbreak testing, prompt engineering, or adversarial evaluation methodologies.
  • Expertise in one or more grey-area domains, including cyber, biosecurity, political content, misinformation, or scientific safety.

Application Process (Takes 20–30 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.