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Manager Ai Safety Jobs in Decatur, GA (NOW HIRING)

The role holds responsibility for client and partner relationships, project and staff management, methodological quality, and business development. The Head of AI Safety will build and maintain ...

The role holds responsibility for client and partner relationships, project and staff management, methodological quality, and business development. The Head of AI Safety will build and maintain ...

Head of AI Safety

Atlanta, GA · On-site

$110 - $145/hr

The role holds responsibility for client and partner relationships, project and staff management, methodological quality, and business development. The Head of AI Safety will build and maintain ...

Senior Principal AI/ML Engineer

Atlanta, GA · On-site

$120K - $166K/yr

AI Safety, Governance & Quality * Identify and mitigate risks in AI/ML systems including ... Prior experience working directly with product managers or business stakeholders - not just ...

In addition to routinely receiving awards for our projects and safety performance, we have also ... The AI Program Manager will lead the strategic implementation, governance, and operational ...

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Manager Ai Safety information

See Decatur, GA salary details

$36.1K

$83.9K

$133.3K

How much do manager ai safety jobs pay per year?

As of Sep 4, 2026, the average yearly pay for manager ai safety in Decatur, GA is $83,937.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,900.00 and $100,100.00 per year, depending on experience, location, and employer.

What is a Manager AI Safety?

Manager AI Safety roles involve overseeing teams and projects that ensure artificial intelligence systems are safe, ethical, and aligned with organizational and societal values. Managers in this field coordinate research, implement safety protocols, and ensure compliance with regulations and industry standards. They often collaborate with data scientists, engineers, and policy experts to identify risks and develop strategies to mitigate them. Additionally, they may be responsible for educating stakeholders about AI safety and leading incident response when issues arise.

What are some common challenges faced by a Manager AI Safety, and how can they be addressed?

One common challenge for a Manager in AI Safety is balancing the rapid pace of AI development with the need to implement thorough safety protocols and risk assessments. This often requires close collaboration with cross-functional teams, including researchers, engineers, and legal experts, to ensure that safety considerations are integrated at every stage of a project. Additionally, staying current with evolving regulations and ethical standards can be demanding, so continuous learning and fostering a culture of open communication are essential. Proactively addressing these challenges helps ensure responsible AI deployment and long-term career growth in this emerging field.

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

To thrive as a Manager AI Safety, you need a strong background in computer science, machine learning, risk assessment, and ideally an advanced degree in a relevant field. Familiarity with AI safety frameworks, programming languages like Python, and tools such as TensorFlow or PyTorch, as well as understanding of compliance standards, is typically required. Excellent leadership, communication, and critical thinking skills help you guide teams and clearly articulate complex technical risks to stakeholders. These competencies are crucial for ensuring the development and deployment of safe, ethical AI systems that align with organizational and societal values.

What is the difference between Manager Ai Safety vs Data Scientist?

AspectManager Ai SafetyData Scientist
Required CredentialsBachelor's or master's in AI, Computer Science, or related fields; experience in AI safetyBachelor's or master's in Data Science, Statistics, or related fields; programming skills
Work EnvironmentFocus on AI safety protocols, risk mitigation, cross-team collaborationData analysis, model development, statistical modeling
Industry UsageTech companies, AI research labs, organizations focusing on safe AI deploymentTech firms, research institutions, data-driven industries

The main difference is that Manager Ai Safety oversees AI safety initiatives, risk management, and team coordination, while Data Scientists focus on analyzing data, building models, and deriving insights. Both roles require technical expertise, but their focus areas and responsibilities differ significantly.

What are the most commonly searched types of Ai Safety jobs in Decatur, GA?

The most popular types of Ai Safety jobs in Decatur, GA are:

What job categories do people searching Manager Ai Safety jobs in Decatur, GA look for?

The top searched job categories for Manager Ai Safety jobs in Decatur, GA are:

What cities near Decatur, GA are hiring for Manager Ai Safety jobs?

Cities near Decatur, GA with the most Manager Ai Safety job openings:

Head of AI Safety

Moonshot

Atlanta, GA • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Job description

Moonshot is recruiting a Head of AI Safety to lead the delivery, development, and growth of our AI Safety portfolio. The role combines Moonshot's expertise in violence prevention, behavioral risk, and online harms with the emerging practice of evaluating and improving the safety of AI systems. The portfolio addresses harm categories including pathways to violence, extremism, child sexual exploitation, abuse and grooming (CSEA), mental health and crisis, and risks affecting children and teenagers.

The Head of AI Safety will serve as Moonshot's primary applied AI safety counterpart for frontier AI companies, governments, and regulators. The role will work closely with model, policy, trust and safety, product, research, and engineering teams. This is not an engineering or data-science role, but it is a hands-on position requiring the successful candidate to lead and participate directly in red teaming and adversarial evaluation, working in detail with evaluation methodologies, test scenarios, model responses, safety policies, and intervention frameworks. The role holds responsibility for client and partner relationships, project and staff management, methodological quality, and business development. The Head of AI Safety will build and maintain relationships across the wider AI safety ecosystem, including with governments, foundations, regulators, academics, researchers, and civil society organizations.

Candidates must be based in MA, CO, NY, VA, GA, PA, MD, WI, TN, TX, OR, NJ, or DC. Occasional travel may be required.

Your responsibilities will include:

Applied AI Safety, Evaluation, and Advisory

  • Lead and quality-assure Moonshot's applied AI safety work across harm categories including pathways to violence, extremism, CSEA, abuse and grooming, mental health and crisis, and risks affecting children and teens, using methods such as red teaming and adversarial evaluation of AI systems.
  • Advise frontier AI companies on how to improve the safety of their models, products, policies, and intervention systems.
  • Translate insights from psychologists, child-safety specialists, violence-prevention practitioners, safeguarding experts, and other subject-matter experts into clear, actionable guidance for model safety, policy, product, research, and engineering teams.
  • Set the methodological approach for the portfolio, translating violence-prevention, safeguarding, and behavioral-risk expertise into structured and testable evaluation frameworks.
  • Lead and participate directly in red teaming and adversarial evaluation, working in detail with test scenarios, model responses, scoring criteria, safety policies, and evaluation results.
  • Identify patterns, edge cases, and potential safety failures, and develop practical recommendations for improving model behavior and user protections.
  • Maintain rigor and clear documentation across the team's technical deliverables, suitable for technical, government, and foundation audiences.
  • Ensure work is delivered within a clear ethical framework and in compliance with contractual, legal, data protection, and ethics obligations.
  • Identify, manage, and escalate operational, reputational, delivery, and partnership risks.

Client & Partner Management

  • Serve as Moonshot's primary applied AI safety counterpart for frontier AI company partners, governments, regulators, and the wider ecosystem invested in AI safety.
  • Build trusted relationships with model, policy, trust and safety, product, research, and engineering teams.
  • Build and sustain relationships across the wider AI safety ecosystem, including governments, foundations, regulators, academics, researchers, civil society organizations, and specialist practitioners.
  • Represent Moonshot externally in meetings, briefings, workshops, and sector engagement, including with regulators and policymaker audiences.

Team Leadership & Management

  • Provide direct leadership, coaching, and management to Moonshot's AI safety team.
  • Foster a collaborative, accountable, and mission-driven team culture, with particular attention to wellbeing given the sensitive nature of the work.
  • Support workforce planning, performance management, and professional development across the team.
  • Ensure effective coordination with internal teams supporting the portfolio, including operations, finance, research, and technical teams.

Portfolio Development & Growth

  • Develop Moonshot's AI safety portfolio, identifying strategic opportunities, partnerships, and funding.
  • Lead proposal development, scoping, and renewals with technical credibility, using precise, defensible language suited to technical and government audiences.
  • Develop repeatable methodologies, service offerings, and partnerships that allow the portfolio to grow while maintaining methodological rigor and delivery quality.
  • Support external communications, publications, briefings, and thought leadership that establish Moonshot as a credible voice in applied AI safety.
  • Oversee project planning, staffing, budgeting, forecasting, and delivery timelines across the portfolio.

Requirements

Essential:

  • Experience in trust & safety, online harms, or a closely related field such as violence prevention, safeguarding, or public health, and the ability to adapt that knowledge to AI systems.
  • Curiosity about AI and the ability to build technical fluency quickly, enough to engage credibly with technical counterparts at AI companies. Much of this work is new, so comfort learning as you go matters more than existing AI safety expertise.
  • Experience designing research, evaluation frameworks, or interventions for harm categories such as violent extremism, CSEA, self-harm and crisis, or targeted violence.
  • Demonstrated experience managing projects, teams, budgets, partners, and clients, with strong people management skills.
  • Excellent written communication, with experience producing credible (not promotional) material for government, foundation, or enterprise audiences.
  • Comfort and demonstrated resilience working with highly sensitive or graphic content (CSEA, extremist material, crisis content), with awareness of wellbeing practices for this kind of work.
  • Strong judgment and the ability to navigate ambiguity, competing priorities, and sensitive stakeholder environments, including representing organizations externally.
  • Willingness to travel and work outside regular hours where needed to accommodate clients or respond to incidents.
  • Highly trustworthy, with discretion and diplomacy, and willing to undertake relevant security clearance procedures.
  • Experience supporting business development, grant funding, or procurement.
  • Commitment to Moonshot's mission.
  • Candidates must be eligible to work in the US, and will be required to undertake and pass any relevant security clearance procedures per client needs.

Desirable:

  • Direct experience in model safety, red teaming, or adversarial evaluation of LLMs or other AI systems.
  • Understanding of LLM architecture, safety tooling, or trust & safety policy.
  • Prior experience in child safety evaluation, teen-safety product work, or grooming and CSEA detection.
  • Familiarity with government or regulatory engagement, such as briefing officials or supporting policy submissions.
  • Experience with intervention or diversion program design that can transfer to AI-mediated interventions.
  • Academic or applied background in radicalization studies, forensic psychology, or violence risk assessment.
  • Familiarity with taxonomy or classifier development, including how testing data feeds a classifier.

Benefits

  • 15 days paid vacation leave, plus Federal holidays and 1 day additional paid leave for Native American Heritage Day.
  • Flexible public holiday policy with the option to work federal holidays in exchange for a day off at another time.
  • Full private healthcare package, including coverage for partners and children.
  • Dental & Vision Insurance.
  • Life & Disability Insurance.
  • 24/7 access to free counseling via our Employee Assistance Program.
  • 3% matched 401k contributions.
  • 401(k) Roth Contributions.
  • Generous maternity and paternity leave: 26 weeks paid maternity leave, 8 weeks paid paternity leave.
  • All permanent employees are granted share options upon employment.

Salary: $110,000 - $120,000 (depending on skills and experience).