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Ai Reviewer Jobs in Indiana (NOW HIRING)

In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...

In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...

Showing results 21-40

Ai Reviewer information

How to become an AI reviewer?

To become an AI reviewer, candidates typically need strong analytical skills, attention to detail, and familiarity with AI and machine learning concepts. Relevant experience in data annotation, content moderation, or quality assurance can be beneficial, along with proficiency in using review tools and platforms. A background in computer science or related fields may also improve job prospects.

What are some common challenges faced by AI reviewers in their day-to-day work?

AI Reviewers often encounter the challenge of keeping up with rapidly evolving AI technologies and methodologies, which requires continual learning and adaptability. In addition, evaluating complex models and identifying subtle biases or errors can be time-consuming and require precision. Effective collaboration with developers, data scientists, and ethical review teams is essential to ensure that feedback is both actionable and aligned with project goals. Despite these challenges, the role offers continuous opportunities to grow your expertise and make a measurable impact on AI project quality.

What are the key skills and qualifications needed to thrive in the AI reviewer position, and why are they important?

To thrive as an AI Reviewer, you need a solid background in artificial intelligence concepts, data analysis, and critical evaluation, typically supported by a degree in computer science, data science, or a related field. Familiarity with AI tools, machine learning frameworks (such as TensorFlow or PyTorch), and experience with workflow or code review platforms are frequently expected. Attention to detail, strong communication skills, and the ability to provide constructive feedback are valuable soft skills in this role. These skills ensure accurate, fair, and actionable reviews that help improve AI model quality and maintain ethical standards.

What are the most commonly searched types of Ai Reviewer jobs in Indiana?

The most popular types of Ai Reviewer jobs in Indiana are:

Infographic showing various Ai Reviewer job openings in Indiana as of August 2026, with employment types broken down into 55% Full Time, 30% Part Time, 5% Temporary, and 10% Contract. Highlights an 55% In-person, and 45% Remote job distribution.

Toxicology AI Content Reviewer - Remote

micro1 AI

Fort Wayne, IN • Remote

$50 - $90/hr

Part-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Role Title: Chemical Safety & Toxicology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Chemical Safety & Toxicology Experts to contribute to a customer’s project focused on enhancing chemical safety evaluation frameworks. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity is tailored for professionals with proven backgrounds in chemical weapons nonproliferation, hazardous materials, toxicology, and industrial chemistry—especially those experienced with controlled-substance risks, regulatory protocols, or chemical-risk assessment. Strong communication skills, both written and verbal, are highly valued as you will provide nuanced insights and feedback throughout the engagement.


Scope of Work

  1. Analyze and evaluate data related to chemical safety, toxicological risk, precursor chemicals, and hazardous-substance scenarios.
  2. Review, annotate, and provide critical feedback on documents, datasets, and model outputs related to chemical weapons, toxicology, and hazardous materials.
  3. Contribute expert perspectives on nonproliferation standards, regulatory protocols, and safety operations for chemical handling and risk mitigation.
  4. Develop and refine guidelines for the assessment of chemical and toxicological hazards in realistic and hypothetical situations.
  5. Interpret and explain the implications of chemical interactions, exposure risks, and toxicity profiles for AI training purposes.
  6. Collaborate remotely with project coordinators, providing written and verbal clarifications or additional context as needed.
  7. Identify gaps or inaccuracies in content or model assessments pertaining to chemical safety and toxicology topics.


Preferred Qualifications

  1. Advanced degree (PhD, MD, JD, PsyD, or relevant master’s) in chemistry, toxicology, industrial hygiene, or closely related disciplines.
  2. Minimum 5 years of specialized experience in areas such as chemical weapons nonproliferation, hazardous materials handling, toxicological risk assessment, or chemical safety protocols.
  3. Experience as an independent consultant, policy advisor, response specialist, or safety officer in industry, government, or research settings.
  4. Expertise in controlled substances, precursor risk evaluation, or nonproliferation regulatory frameworks.
  5. Demonstrated ability to communicate complex technical information effectively in both written and verbal formats.
  6. Familiarity with standards for chemical safety, hazardous material management, or toxicology operations in high-stakes environments.
  7. Interest in supporting AI advancement through the application of domain expertise to new and emerging technology platforms.