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Remote Ai Validation Jobs in Indiana (NOW HIRING)

micro1 AI

First-Person AI Video Trainer

Evansville, IN · Remote

$13/hr

Remote - experts based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky ... Record synchronized video footage to validate and enhance the integrity of collected sensor data.

micro1 AI

First-Person AI Video Trainer

Fort Wayne, IN · Remote

$13/hr

Remote - experts based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky ... Record synchronized video footage to validate and enhance the integrity of collected sensor data.

Harris

Candidates must hold a current, valid passport and be legally eligible to travel. This includes ... Salary: 40K - 65K AI & Innovation Mindset We are committed to leveraging emerging technologies to ...

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Remote Ai Validation information

What are the key skills and qualifications needed to thrive as a Remote AI Validation Specialist, and why are they important?

To thrive as a Remote AI Validation Specialist, you need strong analytical abilities, attention to detail, and a background in computer science, data science, or a related field. Familiarity with machine learning frameworks, data annotation tools, and quality assurance platforms is typically required. Excellent communication, problem-solving skills, and the ability to work independently are essential soft skills for success in a remote environment. These skills ensure accurate validation of AI models, high-quality data outputs, and effective collaboration with distributed teams.

What is a Remote AI Validation job?

A Remote AI Validation job involves evaluating and testing artificial intelligence models to ensure they work accurately and reliably. People in this role often review AI-generated content, annotate data, or provide feedback on machine learning outputs. The work is typically done online, allowing for flexible, remote schedules. Remote AI Validators play a crucial role in improving AI systems by identifying errors, biases, or inaccuracies in model predictions.

What are the typical challenges faced by professionals working in remote AI validation roles, and how can they be addressed?

Professionals in remote AI validation roles often encounter challenges such as managing communication across distributed teams, ensuring consistent access to data and computational resources, and maintaining alignment on validation protocols. Overcoming these hurdles typically involves leveraging collaborative tools, establishing clear documentation practices, and participating in regular virtual meetings. Additionally, staying updated with evolving AI validation standards and fostering open communication with data scientists, engineers, and product managers can help ensure accuracy and efficiency in the validation process.

What is the difference between Remote Ai Validation vs Remote Data Labeler?

AspectRemote Ai ValidationRemote Data Labeler
Required CredentialsBasic understanding of AI/ML concepts, sometimes with certificationsNo formal credentials typically required
Work EnvironmentRemote, often collaborative with AI teamsRemote, individual or team-based labeling tasks
Industry UsageUsed in AI development, quality assurance for modelsUsed in data preparation for machine learning
Common Search IntentComparing roles in AI validation and data labelingLooking for data annotation or labeling jobs

Remote Ai Validation involves verifying and ensuring the quality of AI outputs, often requiring some understanding of AI/ML concepts. Remote Data Labeler focuses on annotating data for training models, typically with minimal formal credentials. Both roles are remote and essential in AI development, but they differ in responsibilities and skill requirements.

What are the most commonly searched types of Ai Validation jobs in Indiana? The most popular types of Ai Validation jobs in Indiana are:
What are popular job titles related to Remote Ai Validation jobs in Indiana? For Remote Ai Validation jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Ai Validation jobs in Indiana look for? The top searched job categories for Remote Ai Validation jobs in Indiana are:
What cities in Indiana are hiring for Remote Ai Validation jobs? Cities in Indiana with the most Remote Ai Validation job openings:
Remote Ai Validation jobs near you
AI Red Team Cybersecurity (SME) - Remote

AI Red Team Cybersecurity (SME) - Remote

micro1 AI

Indianapolis, IN • Remote

$50 - $90/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Role Title: Red Team Lead (Offensive Cybersecurity)


Role Type: Contractor


Location: Remote


micro1 is engaging Red Team Leads (Offensive Cybersecurity) to contribute expertise to a customer's critical cybersecurity 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. Develop comprehensive taxonomies for cyber-capability tasks and attack stages relevant to modern threat landscapes.
  2. Design and validate evaluation frameworks for offensive security, focusing on real-world scenarios involving exploit chains, malware, cloud/appsec, and social engineering.
  3. Create safe and effective proxy tasks to simulate advanced attack vectors while maintaining strict boundaries and ethical controls.
  4. Formulate robust scoring rubrics to assess attack sophistication, coverage, and impact across diverse domains.
  5. Review, critique, and enhance benchmarks for red team operations to ensure alignment with evolving security risks and best practices.
  6. Produce clear, well-documented methodologies and technical write-ups, communicating complex security concepts to both technical and non-technical audiences.
  7. Collaborate asynchronously with project stakeholders to iterate on frameworks and incorporate feedback into deliverables.


Preferred Qualifications

  1. 5+ years of hands-on experience in offensive cybersecurity, red teaming, exploit development, or vulnerability research (8–20 years preferred for senior contributors).
  2. Track record as a principal security engineer, exploit developer, cloud red-team lead, malware reverse-engineer, or security researcher specializing in attack chains or social engineering.
  3. Deep expertise in cyber attack methodologies, exploit chains, and cloud/application security assessments.
  4. Strong background in malware analysis, reverse engineering, and/or social engineering tactics and defenses.
  5. Demonstrated ability to produce clear, actionable written and verbal communication for a variety of audiences.
  6. Advanced degree, relevant professional security certifications, or equivalent operational experience highly valued.
  7. Experience building benchmarking or evaluation frameworks in cybersecurity is a plus.

Apply