ZipRecruiter

Log In

2

Hourly Remote Data Labeling Jobs in Indiana (NOW HIRING)

micro1 AI

First-Person AI Video Trainer

Indianapolis, IN · Remote

$13/hr

Data-Video Generalist Job Type: Contractor Location: Remote - experts based in Alabama, Arkansas ... Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and ...

micro1 AI

First-Person AI Video Trainer

Evansville, IN · Remote

$13/hr

Data-Video Generalist Job Type: Contractor Location: Remote - experts based in Alabama, Arkansas ... Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and ...

Recruitment Room

$90 - $130/hr

Finance / Investment / Accounting Expert Hourly Contract Remote Compensation: $90$130 per hour ... This role involves analyzing complex financial data, preparing structured reports, and ensuring ...

Recruitment Room

$70 - $100/hr

Software Engineering / Development Expert Hourly Contract Remote Compensation: $70$100 per hour ... Strong understanding of algorithms, data structures, and system design. * Experience with agile ...

First American

$30.14 - $40.18/hr

Learn to use additional assets in order to produce your research such as historical maps and data ... 14 - $40.18 Hourly This hiring range is a reasonable estimate of the base pay range for this ...

Harris

$187/hr

This is NOT an hourly position. Compensation Structure This is a Part-Time 100% remote position ... Possess a high-quality of data entry skills with the ability to multi-task. * Comfortable with ...

Hitachi

Product Compliance Engineer

Michigan City, IN · On-site +1

Engineering & Science Job Schedule: Full time Remote: No The Company We build the machines that ... Provide technical writing and review of data or reports that will be incorporated into regulatory ...

next page

Showing results 1-20

All JobsHourly Data Labeling JobsHourly Remote Data Labeling JobsHourly Remote Data Labeling Jobs in Indiana

Hourly Remote Data Labeling information

What are the key skills and qualifications needed to thrive as an Hourly Remote Data Labeler, and why are they important?

To thrive as an Hourly Remote Data Labeler, you need strong attention to detail, basic computer literacy, and the ability to follow specific guidelines, often with a high school diploma or equivalent. Familiarity with data annotation tools and platforms such as Labelbox, Prodigy, or internal company systems is typically required. Reliability, time management, and effective written communication are crucial soft skills for meeting deadlines and maintaining quality in a remote setting. These skills and qualities are important to ensure accurate, consistent data labeling that directly impacts the performance of AI and machine learning models.

What is the difference between Hourly Remote Data Labeling vs Data Annotation Specialist?

AspectHourly Remote Data LabelingData Annotation Specialist
CredentialsBasic computer skills, attention to detailSimilar credentials, often with some industry-specific knowledge
Work EnvironmentRemote, flexible hoursRemote, often project-based or ongoing
Industry UsageCommon in AI/ML developmentUsed across tech, healthcare, automotive sectors
Search IntentLooking for remote data labeling jobsSearching for data annotation roles

Both roles involve labeling or annotating data for machine learning models, often remotely. The main difference lies in terminology and specific industry usage, but they share similar credentials and work environments.

What is hourly remote data labeling?

Hourly remote data labeling is a job where individuals work from home to tag, categorize, or annotate data (such as images, videos, text, or audio) for machine learning and artificial intelligence projects. Workers are typically paid by the hour and use online platforms to complete labeling tasks assigned by companies or research organizations. This work is crucial because AI models need large volumes of accurately labeled data to learn and function properly. The job usually requires attention to detail and may involve following specific guidelines to ensure data quality.

What are some common challenges faced by hourly remote data labeling professionals, and how can they be managed?

Hourly remote data labeling professionals often encounter challenges such as maintaining consistent accuracy, managing repetitive tasks, and staying self-motivated while working independently. To manage these challenges, it's important to set up a dedicated workspace, take regular breaks to reduce fatigue, and follow established labeling guidelines closely. Frequent communication with team leads and participating in quality feedback sessions can also help ensure your work meets project standards and fosters professional growth.
What are popular job titles related to Hourly Remote Data Labeling jobs in Indiana? For Hourly Remote Data Labeling jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Hourly Remote Data Labeling jobs in Indiana look for? The top searched job categories for Hourly Remote Data Labeling jobs in Indiana are:
What cities in Indiana are hiring for Hourly Remote Data Labeling jobs? Cities in Indiana with the most Hourly Remote Data Labeling job openings:
Hourly Remote Data Labeling jobs near you
Subject Matter Expert - Video & Motion Analytics

Subject Matter Expert - Video & Motion Analytics

micro1 AI

Indianapolis, IN • Remote

$13/hr

Part-time

Posted 13 days ago

Job description

Job Title: Data-Video Generalist


Job Type: Contractor


Location: Remote - experts based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Mississippi, Montana, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Utah, Virginia, West Virginia, and Wisconsin.


Job Summary: 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.


Key Responsibilities:

  1. Capture precise motion data using your smartphone during specified physical tasks.
  2. Supported devices include the iPhone 12 and later, Google Pixel 6 and later, and Samsung Galaxy S21 and later.
  3. Record synchronized video footage to validate and enhance the integrity of collected sensor data.
  4. Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and determinism standards.
  5. Consistently contribute a minimum of 10 hours of approved video data per week throughout the project duration.
  6. Communicate effectively with the team to clarify guidelines and provide feedback on data collection processes.
  7. Ensure timely and reliable delivery of data outputs in accordance with project milestones.
  8. Participate in required device compatibility checks and a custom AI-enabled interview process.


Required Skills and Qualifications:

  1. Access to a head strap to be able to record both hands within 48 hours of the start date.
  2. Demonstrated adherence to standardized protocols and rigorous technical instructions.
  3. Proven ability to manage and deliver reliable output in a fast-paced, data-driven environment.
  4. Strong written and verbal communication skills; ability to document work and collaborate remotely.
  5. Experience with mobile devices and a high level of digital literacy.
  6. Physical capability to perform repetitive movement tasks safely and accurately.
  7. Access to a compatible smartphone for high-fidelity sensor and video data collection.
  8. Eligibility to work in designated U.S. states.
  9. Note: Applications submitted with a Gmail address are strongly preferred for seamless tool integration.


Compensation Structure

Compensation is output-based; experts are paid per recorded video that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow.


Start Timeline & Availability

We typically fill roles within 48 hours, so we’re looking for teammates who are ready to jump in. If selected, we’d love for you to start your first task as soon as you move forward with your application. The expectation is to begin within ~24 hours of completing onboarding.


Equipment Requirements

Mobile:

Tasks for this project must be performed from a mobile device (smartphone). Experts will record their workflow directly from the mobile device while completing tasks.


Head Strap / Wearable: Tasks for this project must be performed using a head-mounted camera (head strap setup). Experts will record first-person video of physical tasks. The required head strap and any accompanying equipment specifications will be shared during onboarding.

Apply