1

Ai Rater Jobs in Providence, RI (NOW HIRING)

Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects Responsibilities: * Give AI chatbots diverse and complex problems and evaluate their outputs * Evaluate ...

Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects Responsibilities: * Give AI chatbots diverse and complex problems and evaluate their outputs * Evaluate ...

Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects Responsibilities: * Give AI chatbots diverse and complex problems and evaluate their outputs * Evaluate ...

Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects Responsibilities: * Give AI chatbots diverse and complex problems and evaluate their outputs * Evaluate ...

Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects Responsibilities: * Give AI chatbots diverse and complex problems and evaluate their outputs * Evaluate ...

Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects Responsibilities: * Give AI chatbots diverse and complex problems and evaluate their outputs * Evaluate ...

Showing results 41-60

Ai Rater information

What is an AI Rater?

An AI Rater evaluates and provides feedback on artificial intelligence models, typically improving search engines, chatbots, or recommendation systems. They assess the relevance, accuracy, and quality of AI-generated content based on specific guidelines. This role requires strong analytical skills, attention to detail, and familiarity with the subject matter being reviewed. AI Raters often work remotely and on a flexible schedule.

What does an AI Rater do?

A typical day for an AI Rater involves reviewing and evaluating various types of content, such as search engine results, social media posts, advertisements, or chatbot responses, to ensure they meet quality and relevancy standards. You may follow detailed guidelines to rate or annotate content, complete assigned tasks in a web-based platform, and provide feedback to help improve AI performance. Most positions are remote and offer flexible schedules, allowing you to plan your workload around personal commitments. Collaboration is generally limited, as most work is performed independently, but periodic communication with team leads for training or updates is common.

What skills and qualifications are needed to thrive as an AI Rater?

To thrive as an AI Rater, you generally need strong attention to detail, analytical thinking, and proficiency in English, often supported by formal education such as a high school diploma or higher. Familiarity with web browsers, online research, and company-specific rating platforms or guidelines is essential. Excellent time management, adaptability, and effective written communication help individuals excel in this position. These skills and qualities ensure accurate and consistent evaluations of AI-generated content, directly impacting the improvement of artificial intelligence systems.

How to become an AI Rater?

To become an AI Rater, candidates typically need a high school diploma or equivalent, strong language and analytical skills, and the ability to follow detailed guidelines. The role often involves evaluating search engine results or content for accuracy and relevance, using online platforms or specific assessment tools. Prior experience in data annotation or quality assurance can be beneficial, and flexible scheduling is common.

What are popular job titles related to Ai Rater jobs in Providence, RI?

For Ai Rater jobs in Providence, RI, the most frequently searched job titles are:

What job categories do people searching Ai Rater jobs in Providence, RI look for?

The top searched job categories for Ai Rater jobs in Providence, RI are:

What cities near Providence, RI are hiring for Ai Rater jobs?

Cities near Providence, RI with the most Ai Rater job openings:

Infographic showing various Ai Rater job openings in Providence, RI as of August 2026, with employment types broken down into 70% Full Time, 16% Part Time, 1% Temporary, and 13% Contract. Highlights an 82% In-person, and 18% Remote job distribution.

GDMS Senior AI Governance & Risk Specialist

Phase2 Technology

Taunton, MA • On-site

$144.45 - $152/hr

Other

Posted 2 days ago

New


Job description

GDMS Senior AI Governance & Risk Specialist

Basic Qualifications: Bachelor's degree or equivalent, or the combination of education and relevant work experience with a minimum of 8 years of relevant experience; or Master's degree with a minimum of 6 years of relevant experience. U.S. citizenship is required.

Job Description

GDMS operates one of the largest enterprise AI deployments in the defense industry, with adoption spanning generative AI copilots, LLM‑powered applications, and a rapidly growing portfolio of agentic and autonomous AI systems. The governance challenge is keeping pace with a workforce that already uses AI while ensuring every deployment meets risk, security, and compliance standards that mission‑critical defense work demands.

As a Sr. AI Governance & Risk Specialist, you will be a core practitioner on the Agentic AI Governance team, executing day‑to‑day work that keeps GDMS AI deployment safe, accountable, and trusted. Responsibilities include conducting AI risk assessments, performing governance audits, evaluating adherence to regulations, leading corrective actions, and serving as subject matter expert for engineering and program teams navigating the AI lifecycle. You will work directly with agentic tools and applications, bringing firsthand understanding of their behavior and governance controls.

Key Responsibilities AI Governance Execution & Assessment
  • Conduct and lead comprehensive AI risk assessments and governance audits against emerging regulations for generative AI, LLM‑based, and agentic applications; document findings, risk ratings, and mitigation strategies, and lead corrective actions.
  • Evaluate and ensure adherence to government and corporate AI policies, standards, and regulations across the six layers: AI inventory and discovery; data governance; security and access controls; model assurance; human oversight; and compliance and audit.
  • Apply and maintain tiered governance frameworks calibrated to risk level, ensuring low‑risk use cases clear quickly while mid‑ and high‑risk applications receive appropriate scrutiny and escalation.
  • Maintain the enterprise AI use inventory and control framework, including system inventory, risk register, shadow AI detection, approved use catalog, and control mapping; support dashboard reporting and KPI monitoring for AI governance program health.
  • Prepare governance recommendations for approval and escalation, ensuring mid‑ and high‑risk AI systems are escalated with clear risk rationale and decision support materials.
  • Support development of self‑service governance tooling, checklists, and playbooks that enable program teams to adopt AI responsibly without requiring individual review for low‑risk applications.
Agentic AI Risk & Technical Assessment
  • Assess risks specific to agentic AI systems and multi‑agent architectures including tool‑calling behavior, memory and retrieval systems, external API access, autonomous decision loops, and agent‑to‑agent communication patterns.
  • Apply failure mode analysis to evaluate behavioral boundaries, unintended action risks, adversarial prompt vulnerabilities, and out‑of‑scope execution risks for agentic deployments.
  • Evaluate and document human‑in‑the‑loop (HITL) requirements and escalation thresholds appropriate to each agentic use case based on risk level, decision reversibility, and mission context.
  • Conduct hands‑on evaluation of agentic tools and platforms including AI coding assistants, copilot‑style applications, and multi‑agent orchestration frameworks to ground governance assessments in actual system behavior rather than vendor documentation alone.
  • Implement measures to monitor and mitigate risks associated with AI systems and data flows across GDMS IT and network infrastructure; investigate and manage responses to AI governance incidents and anomalies to prevent and mitigate exposure.
Policy, Standards & Regulatory Compliance
  • Maintain AI governance policies for responsible AI deployment, integrating government and corporate AI requirements into policy, standards, procedures, and operational guidance; own the policy lifecycle from drafting through review, approval, and periodic refresh aligned to enterprise risk priorities and evolving regulatory expectations.
  • Translate regulatory requirements, including NIST AI RMF, OWASP Top 10 for LLMs, MITRE ATLAS, the EU AI Act, applicable U.S. Executive Orders on AI, and ISO 42001, into clear, actionable internal controls and assessment criteria without creating bureaucratic drag.
  • Monitor the evolving domestic and international AI regulatory landscape; identify changes with organizational impact and elevate findings with recommended policy responses.
  • Coordinate with Privacy, Legal, Cybersecurity, and IT leadership to assess compliance risk against emerging AI regulations, including the EU AI Act, applicable U.S. Executive Orders on AI, and evolving DoD and federal AI policy; identify control gaps, quantify exposure, and recommend corrective measures before requirements become binding obligations.
  • Produce compliance reporting on AI controls for internal audit, regulatory examination, and governance committee review, documenting control effectiveness, open findings, and remediation status; support audit readiness activities including evidence collection, control validation, and documentation packages suitable for internal and regulatory stakeholders.
Risk Monitoring, Reporting & Controls Assurance
  • Perform ongoing monitoring and validation of deployed AI systems, including review of model performance, drift indicators, bias signals, and continued alignment with approved use scope.
  • Identify opportunities to apply AI and automation for continuous improvement of the AI governance program itself, including automated risk attribution, KPI tracking, and telemetry‑driven evidence.
  • Generate AI risk and governance reporting contributing to dashboards, risk posture summaries, and periodic reports for program leadership and cross‑functional stakeholders.
  • Evaluate effectiveness of cybersecurity controls applied to AI systems (NIST CSF, NIST AI RMF), collaborating with the Cybersecurity organization to integrate governance without duplicating ownership.
  • Support vendor and third‑party AI risk assessments, ensuring AI components from external providers meet GDMS contractual, regulatory, and governance requirements.
Knowledge, Skills & Abilities
  • Collaborates and works effectively cross‑functionally throughout the business, including with Legal, Information Technology, Cybersecurity, Security, and Contracts organizations.
  • Excellent computer and data management knowledge, including IT Security, Cybersecurity, and cloud infrastructure concepts as they apply to AI system risk.
  • Excellent ability to communicate comfortably with senior management, translating complex AI risk and governance topics into clear, decision‑ready information.
  • Excellent ability to manage a risk profile and design effective mitigation strategies appropriate to AI and agentic system risk scenarios.
  • Working knowledge of NIST AI RMF, OMB AI guidance, FAR/DFARS AI requirements, DoD Responsible AI principles, CMMC implications, EU AI Act, GDPR, UK AI Governance Framework, ISO 42001, OECD AI Principles, and emerging state laws (Colorado, California, Virginia, Texas).
  • Hands‑on familiarity with Microsoft Copilot, Microsoft Purview, OpenAI, Anthropic, Google, and open‑source AI ecosystems; awareness of Palantir, Snowflake, Databricks, ServiceNow.
  • Understanding of Agentic AI 7‑layer operating model, MCP architectures, tool calling, agent‑to‑agent communications, and human approval gates.
  • Excellent analytical, written, and presentation skills; demonstrated ability to produce governance documentation, policy materials, and stakeholder briefings of high quality.
Education and Experience
  • Bachelor's degree or equivalent is required, or the combination of education and relevant work experience, plus a minimum of 8 years of relevant experience; or
  • Master's degree plus a minimum of 6 years of relevant experience in AI governance, technology risk, cybersecurity GRC, responsible AI, or AI/ML compliance.
  • Certifications highly sought include IAPP AI Governance Professional (AIGP), Certified Risk and Information Systems Control (CRISC), Advanced AI Risk (AAIR), ISO 42001.

Target salary range: USD $144,451.00/Yr. - USD $152,000.00/Yr.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

#J-18808-Ljbffr