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Remote Ai Data Collection Jobs in Springfield, IL

Our field data collection teams are spread across Europe and North America, ready to accept new ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

... financial data management. • Prepare monthly, quarterly, and annual financial reports for ... Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

RN - AI Trainer

Springfield, IL · Remote

$50 - $60/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

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Remote Ai Data Collection information

See Springfield, IL salary details

$15

$25

$31

How much do remote ai data collection jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for remote ai data collection in Springfield, IL is $25.08, according to ZipRecruiter salary data. Most workers in this role earn between $23.12 and $25.72 per hour, depending on experience, location, and employer.

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

To thrive as a Remote AI Data Collection Specialist, you need attention to detail, data management skills, and a basic understanding of machine learning concepts, often supported by a degree in computer science or related fields. Familiarity with data annotation tools, spreadsheets, and platforms like Labelbox or Amazon SageMaker is commonly required. Strong communication, time management, and problem-solving skills are important for collaborating remotely and meeting project deadlines. These abilities ensure accurate, efficient data gathering and annotation, which are critical for the quality and reliability of AI model development.

What is remote AI data collection?

Remote AI data collection refers to the process of gathering and labeling data—such as images, audio, text, or video—from various sources using digital tools, often from a remote location. This data is used to train and improve artificial intelligence and machine learning models. People working in this field can perform tasks like annotating images, transcribing audio, or categorizing text, all from their home or another remote setting. The work is essential for creating accurate AI systems and often offers flexible hours. It usually requires basic computer skills and attention to detail.

What is the difference between Remote Ai Data Collection vs Remote Data Annotator?

AspectRemote Ai Data CollectionRemote Data Annotator
Required CredentialsBasic computer skills, training in data collection toolsAttention to detail, familiarity with annotation software
Work EnvironmentRemote, flexible hours, often on mobile or desktopRemote, flexible hours, often on desktop or specialized platforms
Industry UsageAI training data gathering across various sectorsLabeling and annotating data for machine learning models
Common Search IntentJobs involving data collection for AIJobs focused on data labeling and annotation

Remote Ai Data Collection involves gathering raw data for AI training, often requiring basic technical skills. Remote Data Annotator focuses on labeling and annotating data to improve machine learning models. Both roles are remote, but they differ in tasks and skill requirements, serving different stages of AI data preparation.

What are some common challenges faced in a Remote AI Data Collection role, and how can they be managed?

A common challenge in Remote AI Data Collection roles is ensuring data quality and consistency, especially when working independently without direct supervision. It is important to follow detailed guidelines precisely and communicate proactively with project managers or team leads whenever uncertainties arise. Time management and maintaining motivation can also be challenging when working remotely, so setting a structured schedule and leveraging collaboration tools can help. Regular check-ins with the team and staying updated with project requirements are key to overcoming these challenges and delivering reliable results.
What are popular job titles related to Remote Ai Data Collection jobs in Springfield, IL? For Remote Ai Data Collection jobs in Springfield, IL, the most frequently searched job titles are:
What job categories do people searching Remote Ai Data Collection jobs in Springfield, IL look for? The top searched job categories for Remote Ai Data Collection jobs in Springfield, IL are:
What cities near Springfield, IL are hiring for Remote Ai Data Collection jobs? Cities near Springfield, IL with the most Remote Ai Data Collection job openings:

Data collector / Driver

TSMG

Springfield, IL • Remote

Full-time

Posted 18 days ago


Job description

Company description

Terry Soot Management Group (TSMG) is a field data collection company founded in 2017 in Europe. 

We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges.

Project objective
The goal of the project is to help collect images of streets, main points of interest and public areas. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world.

The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last at least 3 months and will cover different city/state zones.

The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable.

The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. You can work more than 8 hours if you will.
Requirements
  • Must have a valid Driver License (driving experience, 1-2 yrs minimum)
  • Must have parking for a vehicle
  • Must be authorized to work in the US
  • Must pass the background check
  • Enjoys driving, with flexible schedule
  • Available for a minimum of 3 months
  • Responsible & Reliable
  • Good driving skills
  • Great communication skills
  • High level of responsibility
  • General car knowledge
  • Tech savvy (smartphone and basic apps)
  • Basic computer skills
  • Self-motivated and detailed oriented
We would be happy to get to know you and your skills better and see how we can support each other's growth.

Please apply and let's meet!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.