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Ai Task Reviewer Jobs in Indiana (NOW HIRING)

TSMG

AI/ML Data Contributor

Indianapolis, IN

In this role, you will participate in tasks that help improve machine learning models, including ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

AI/ML Data Contributor

Indianapolis, IN · On-site

In this role, you will participate in tasks that help improve machine learning models, including ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

AI/ML Data Contributor

Indianapolis, IN · On-site

In this role, you will participate in tasks that help improve machine learning models, including ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

AI/ML Data Contributor

Indianapolis, IN

In this role, you will participate in tasks that help improve machine learning models, including ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

AI/ML Data Contributor

Indianapolis, IN

In this role, you will participate in tasks that help improve machine learning models, including ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

AI/ML Data Contributor

Indianapolis, IN · On-site

In this role, you will participate in tasks that help improve machine learning models, including ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

micro1 AI

Corporate M&A Associate

Carmel, IN · Remote

$90 - $130/hr

... AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.

micro1 AI

Lawyer (Asset Management)

Indianapolis, IN · Remote

$90 - $130/hr

... AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.

micro1 AI

Commercial Counsel

Fort Wayne, IN · Remote

$90 - $130/hr

... AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.

micro1 AI

Corporate M&A Associate

Fishers, IN · Remote

$90 - $130/hr

... AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.

micro1 AI

Private Funds Attorney - Remote

Fort Wayne, IN · Remote

$90 - $130/hr

... AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.

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All JobsAi Task Reviewer JobsAi Task Reviewer Jobs in Indiana

Ai Task Reviewer information

How to become an AI task reviewer?

To become an AI task reviewer, candidates typically need strong attention to detail, good understanding of AI and machine learning concepts, and experience with data annotation or content moderation. Relevant skills include familiarity with review tools and platforms, and some roles may require a background in linguistics, computer science, or related fields. Gaining experience through online courses or certifications can also improve prospects in this role.

Are remote AI task reviewer jobs legit?

Remote AI task reviewer jobs are legitimate positions where individuals evaluate and annotate data to improve AI systems. These roles often require attention to detail, basic computer skills, and sometimes specific training or guidelines, and they are commonly offered by reputable companies in the tech industry.

What is the difference between Ai Task Reviewer vs Data Annotator?

AspectAi Task ReviewerData Annotator
Required CredentialsBasic computer skills, training in review guidelinesBasic computer skills, training in annotation tools
Work EnvironmentRemote or office-based, reviewing AI outputsRemote or office-based, labeling and annotating data
Industry UsageAI development, machine learning projectsData preparation, machine learning datasets
Search & Comparison IntentUnderstanding review roles in AI projectsUnderstanding data labeling roles in AI

The main difference between an Ai Task Reviewer and a Data Annotator lies in their roles within AI development. Ai Task Reviewers focus on evaluating and validating AI outputs, ensuring quality and accuracy, while Data Annotators are responsible for labeling and preparing data used to train AI models. Both roles are essential in the AI industry, often requiring similar skills but serving different functions in the data pipeline.

What are popular job titles related to Ai Task Reviewer jobs in Indiana? For Ai Task Reviewer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Task Reviewer jobs in Indiana look for? The top searched job categories for Ai Task Reviewer jobs in Indiana are:
What cities in Indiana are hiring for Ai Task Reviewer jobs? Cities in Indiana with the most Ai Task Reviewer job openings:
Ai Task Reviewer jobs near you
Infographic showing various Ai Task Reviewer job openings in Indiana as of August 2026, with employment types broken down into 85% Full Time, 9% Part Time, and 6% Contract. Highlights an 79% In-person, and 21% Remote job distribution.

AI Training Specialist - Cheminformatics

micro1 AI

Fort Wayne, IN • Remote

$80 - $110/hr

Part-time

Posted 9 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. 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.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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