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Hourly Remote Ai Training Jobs in Indiana (NOW HIRING)

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

Remote Job Summary: You'll use your tax expertise to help train next-generation AI systems. The ... Background in training teams or giving written feedback on legal/tax language. * Interest in the ...

Remote Job Summary: You'll use your tax expertise to help train next-generation AI systems. The ... Background in training teams or giving written feedback on legal/tax language. * Interest in the ...

Showing results 21-40

Hourly Remote Ai Training information

What is an hourly remote AI training?

An Hourly Remote AI Training job involves helping to improve artificial intelligence systems by providing feedback, labeling data, or completing tasks that teach AI models how to understand and process information. These positions are typically remote, meaning you can work from home, and are paid based on the number of hours you work. Tasks might include categorizing images, transcribing audio, or answering questions to help train machine learning algorithms. This role is suitable for individuals who are detail-oriented and comfortable working independently online.

What are the key skills and qualifications needed to thrive as an hourly remote AI training specialist?

To thrive as an Hourly Remote AI Training Specialist, you typically need strong analytical skills, attention to detail, and a basic understanding of AI concepts, often supported by a high school diploma or higher. Familiarity with digital annotation tools, data labeling platforms, and cloud-based collaboration systems is commonly required. Excellent time management, communication, and self-motivation are standout soft skills for this remote role. These competencies ensure the accuracy and efficiency of data preparation, which is critical for effective AI model development.

What are the typical challenges faced when working as an hourly remote AI training contributor, and how can they be managed?

One common challenge in Hourly Remote AI Training roles is maintaining focus and accuracy during repetitive data labeling or annotation tasks, which are crucial for high-quality AI model development. Managing time effectively, taking regular breaks, and using productivity tools can help sustain attention and reduce errors. Additionally, remote contributors may experience limited feedback or interaction with colleagues, so proactively seeking clarification and participating in team communication channels is important for staying aligned with project goals and expectations.

What is the difference between Hourly Remote Ai Training vs Data Labeler?

AspectHourly Remote Ai TrainingData Labeler
CredentialsBasic technical skills, training experienceNone typically required
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI development, machine learning projectsData preparation for AI models
Job FocusTraining AI models through data inputLabeling and annotating data

Hourly Remote Ai Training involves training AI models by providing data and feedback, often requiring some technical understanding. Data Labelers focus on annotating data to improve AI accuracy. Both roles are remote and essential in AI development, but they differ in technical requirements and job focus.

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

The most popular types of Remote Ai Training jobs in Indiana are:

What are popular job titles related to Hourly Remote Ai Training jobs in Indiana?

For Hourly Remote Ai Training jobs in Indiana, the most frequently searched job titles are:

What cities in Indiana are hiring for Hourly Remote Ai Training jobs?

Cities in Indiana with the most Hourly Remote Ai Training job openings:

AI Training Specialist - Physics

micro1 AI

Fishers, IN • On-site, Remote

$80 - $150/hr

Part-time

Posted 17 days ago


Job description

Role Title: Physics Expert (Postdoc / Junior professor)


Role Type: Contractor


Location: Remote (US, Canada, UK focused)


micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. 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. Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms.
  2. Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology.
  3. Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback.
  4. Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement.
  5. Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument.
  6. Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate.
  7. Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes.


Preferred Qualifications

  1. PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials).
  2. Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist.
  3. Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links.
  4. Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation.
  5. Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars.
  6. Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor.
  7. Reliable access to high-speed internet and a computer suitable for rigorous technical work.