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Ai Review Jobs (NOW HIRING)

Lead AI/ML Engineer

$104K - $138K/yr

Manage the day-to-day operations of the AI Review Board (AIRB) submission process, acting as a hands-on guide for Data Science and product teams. * Facilitate the preparation of all required ...

Manage the day-to-day operations of the AI Review Board (AIRB) submission process, acting as a hands-on guide for Data Science and product teams. * Facilitate the preparation of all required ...

They are seeking a Staff AI Engineer to lead the architecture and implementation of AI-assisted ... You design the agent orchestration - planner, coder, tester, reviewer - and the blast-radius ...

Sr Security Engineer - AI

$117K - $160K/yr

Review AI integrations involving enterprise platforms such as GitHub, Salesforce, Slack, Jira, Confluence, SharePoint, Workday, ServiceNow, and other business-critical systems. * Define and implement ...

Please note: this post does not represent a specific open position; submissions are not subject to AI review. Equal Opportunity Employer This employer is required to notify all applicants of their ...

Lead AI/ML Engineer

Atlanta, GA ยท On-site

$98K - $129K/yr

Manage the day-to-day operations of the AI Review Board (AIRB) submission process, acting as a hands-on guide for Data Science and product teams. * Facilitate the preparation of all required ...

Operate the embedded AI review process for AI capabilities within SaaS platforms, ensuring governance coverage extends to procured AI features. Model & System Quality * Oversee model validation ...

Contribute to governance forums (e.g., AI review boards) with deep technical insight and independent perspective. 6. Responsible AI & Risk Alignment * Partner with governance and risk functions to ...

Contribute to governance forums (e.g., AI review boards) with deep technical insight and independent perspective. 6. Responsible AI & Risk Alignment * Partner with governance and risk functions to ...

Contribute to governance forums (e.g., AI review boards) with deep technical insight and independent perspective. 6. Responsible AI & Risk Alignment * Partner with governance and risk functions to ...

Operate the embedded AI review process for AI capabilities within SaaS platforms, ensuring governance coverage extends to procured AI features. Model & System Quality * Oversee model validation ...

Facilitate AI review boards or model approval committees. * Provide guidance to teams on responsible AI best practices. 4. Monitoring & Reporting * Develop metrics and dashboards to track AI system ...

Lead AI/ML Engineer

$104K - $138K/yr

Manage the day-to-day operations of the AI Review Board (AIRB) submission process, acting as a hands-on guide for Data Science and product teams. * Facilitate the preparation of all required ...

Contribute to governance forums (e.g., AI review boards) with deep technical insight and independent perspective. 6. Responsible AI & Risk Alignment * Partner with governance and risk functions to ...

Staff AI Engineer

$210K - $290K/yr

Automated PR Review - A risk-tiered AI review pipeline where AI handles first-pass review on every PR, with an escalation framework you design that determines when human review is mandatory (payment ...

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Ai Review information

What is the difference between Ai Review vs Content Moderator?

AspectAi ReviewContent Moderator
Required CredentialsBasic understanding of AI tools, data analysisModeration skills, understanding of community guidelines
Work EnvironmentTypically office or remote, working with AI systems and dataOnline platforms, social media, or community sites
Employer & Industry UsageTech companies, AI service providersSocial media platforms, online marketplaces
Search & Comparison IntentUnderstanding AI review processes, roles involving AIMonitoring and managing user-generated content

Ai Review roles focus on evaluating AI-generated content and ensuring AI systems function correctly, often requiring familiarity with AI tools. Content Moderators handle user content to enforce community standards, requiring moderation skills. While both roles involve content assessment, Ai Review emphasizes AI system evaluation, whereas Content Moderators focus on user interactions.

What are the key skills and qualifications needed to thrive as an AI Reviewer, and why are they important?

To thrive as an AI Reviewer, you need a strong background in data analysis, machine learning concepts, and quality assurance, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, SQL databases, and annotation platforms, as well as relevant certifications like AI ethics or data science, is typically required. Critical thinking, attention to detail, and clear communication are crucial soft skills for evaluating AI outputs and collaborating with development teams. These competencies ensure that AI systems are accurate, ethical, and reliable for real-world applications.

What are some common challenges faced by professionals in AI review roles, and how can they be addressed?

Professionals in AI review roles often encounter challenges such as staying updated with rapidly evolving AI technologies, ensuring the accuracy and fairness of AI outputs, and managing large volumes of data for review. These challenges can be addressed by participating in ongoing training, collaborating closely with data scientists and engineers, and utilizing robust documentation and quality assurance processes. Regular communication with cross-functional teams also helps in quickly identifying and resolving issues, ensuring that AI systems remain reliable and compliant with organizational standards.

What is an AI Reviewer?

An AI Reviewer is a professional who evaluates, tests, and assesses artificial intelligence systems, models, or tools. Their role often involves reviewing the performance, accuracy, fairness, and ethical implications of AI solutions in various contexts. AI Reviewers may work in research, compliance, product development, or quality assurance to ensure that AI technologies are reliable, unbiased, and meet industry standards. They collaborate with data scientists, engineers, and stakeholders to provide feedback and recommendations for improvement. This role is crucial for maintaining trust and safety in AI applications.
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Wellness & Nutrition Content Expert, AI Review, Part-Time

Wellness & Nutrition Content Expert, AI Review, Part-Time

mpathic

Seattle, WA โ€ข On-site

$30 - $40/hr

Contractor

Re-posted yesterday


Job description

About mpathic
Keeping the human in AI. mpathic is a trusted leader in advancing clinical accuracy and quality through developing AI-enhanced solutions. mpathic offers human services in red teaming, trust & safety, central rating and monitoring for clinical trials and expert data annotation for LLM builders. Our reviewers have specialization in behavioral analysis, conversational design, mental health, psychiatry, social services and clinical trial settings.
About the Role
mpathic is seeking part-time wellness, nutrition, and lifestyle experts-including writers, educators, coaches, influencers, or subject-matter experts-who are skilled communicators and thoughtful analysts of human behavior and language.
You will collaborate on confidential AI safety and quality initiatives focused on wellness, nutrition, diet culture, healthy behavior change, and non-clinical wellbeing content generated by large language models. This role is non-clinical and does not involve diagnosis, treatment, or crisis intervention.
What You'll Be Working On
You'll help ensure AI systems provide responsible, accurate, and non-harmful guidance related to wellness, nutrition, food, body image, and lifestyle topics.
Responsibilities may include:
  • Reviewing and stress-testing AI-generated wellness, nutrition, and lifestyle content
  • Roleplaying realistic user conversations related to diet, health goals, habits, and wellbeing
  • Identifying misleading, unsafe, biased, or low-quality wellness advice
  • Evaluating tone, clarity, inclusivity, and cultural sensitivity in AI responses
  • Developing personas, scenarios, and evaluation rubrics for wellness-related use cases
  • Documenting edge cases, failures, and improvement opportunities
  • Providing structured written feedback to researchers and engineers
  • Collaborating with interdisciplinary teams on AI safety, trust, and content quality
  • Maintaining strict confidentiality and quality standards

This role is writing- and judgment-intensive, and well-suited for people who regularly analyze, create, or critique wellness-related content.
What We're Looking For
Successful candidates are clear communicators, thoughtful reviewers, and comfortable working independently while contributing to a collaborative team.
Basic Qualifications
  • Demonstrated expertise in wellness, nutrition, diet, or lifestyle education, such as:
    • Nutrition or diet education (formal or informal)
    • Wellness coaching or health education
    • Food, fitness, or wellness content creation
    • Body image, intuitive eating, or behavior change frameworks
  • Strong writing and editing skills, with the ability to clearly explain reasoning and feedback
  • Experience evaluating or creating digital content (articles, social posts, scripts, newsletters, guides, etc.)
  • Comfort working with AI tools and conversational systems
  • Strong ethical judgment and attention to safety, accuracy, and harm prevention
  • Ability to work remotely using Slack, LLM tools, and standard productivity software
  • Comfort with ambiguity, iteration, and feedback-driven work
  • Willingness to sign NDAs and work with confidential materials
  • Availability up to 10 hours per week, with occasional scheduled meetings

Above and Beyond
  • Background in nutrition science, public health, health communication, or behavior change
  • Experience as a wellness or nutrition influencer, blogger, or educator
  • Familiarity with diet culture harms, eating disorder-adjacent risks, or wellness misinformation
  • Experience with content moderation, trust & safety, or quality assurance
  • Background in conversational design, UX writing, or scenario design
  • Interest in AI, language models, or responsible technology
  • Participation in online communities (e.g., Instagram, TikTok, Substack, Discord, Reddit)

Compensation
$30-40/hour depending on experience