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Ai Data Collection Jobs in Colorado (NOW HIRING)

TSMG

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 ...

TSMG

Data collector / Driver in Aurora, CO

Aurora, CO · On-site

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 ...

TSMG

Data collector / Driver in Aurora, CO

Aurora, CO · On-site

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 ...

TSMG

Data collector / Driver

Pueblo, CO

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 ...

TSMG

Data collector / Driver

Fort Collins, CO

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 ...

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How much do ai data collection jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for ai data collection in Colorado is $26.61, according to ZipRecruiter salary data. Most workers in this role earn between $24.52 and $27.31 per hour, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior data scientist, AI research director, or machine learning executive, often offering compensation in that range including salary, bonuses, and stock options. These roles usually require advanced skills in programming, data analysis, and AI frameworks, along with significant experience and leadership responsibilities.

What does a typical day look like for someone working in AI Data Collection?

A typical day often involves reviewing and labeling large sets of data—such as text, images, or audio—using specialized annotation tools or platforms. You might also collaborate with data engineers, project managers, or AI researchers to clarify data requirements and resolve ambiguities. The role usually requires a balance of independent, detail-oriented work and regular team check-ins to ensure consistency and quality across datasets. Adhering to project deadlines and quality guidelines is essential, and there may be opportunities to automate repetitive tasks or improve data protocols over time.

Which AI job is high paying?

In AI data collection, roles that involve managing large datasets, developing data pipelines, or working with advanced tools like machine learning frameworks tend to be higher paying. Positions requiring specialized skills, certifications, or experience in data annotation, labeling, or quality assurance often command higher salaries due to their technical complexity and importance in AI development.

What is an AI Data Collection job?

An AI Data Collection job involves gathering, labeling, and curating datasets used to train and improve artificial intelligence models. This can include collecting text, images, audio, or video data from various sources while ensuring its accuracy and relevance. Professionals in this role may also clean and organize data to make it usable for machine learning algorithms. Ethical considerations, such as privacy and bias, are important aspects of the job. Strong attention to detail and familiarity with data management tools are often required.

Which 3 jobs will survive AI?

AI Data Collection specialists are likely to continue to be in demand as they gather and annotate data essential for training AI models. Jobs that require complex human judgment, creativity, and emotional intelligence, such as healthcare professionals, educators, and skilled tradespeople, are also expected to persist despite AI advancements. These roles often involve tasks that are difficult for AI to replicate fully.

What is an AI data collection job?

An AI data collection job involves gathering and labeling data such as images, text, or audio to train machine learning models. Workers often use online platforms, require attention to detail, and may need basic knowledge of data annotation tools or guidelines.

What are the key skills and qualifications needed to thrive in the Ai Data Collection position, and why are they important?

To thrive in AI Data Collection, you need strong analytical skills, attention to detail, and knowledge of data management principles, often supported by a background in computer science or a related field. Familiarity with data annotation tools, spreadsheets, programming languages like Python, and experience using data labeling or crowdsourcing platforms is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are valuable soft skills in this position. These skills enable accurate, efficient data collection and ensure datasets meet the quality standards necessary for training and validating AI models.

What are the most commonly searched types of Ai Data Collection jobs in Colorado? The most popular types of Ai Data Collection jobs in Colorado are:
What are popular job titles related to Ai Data Collection jobs in Colorado? For Ai Data Collection jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Ai Data Collection jobs in Colorado look for? The top searched job categories for Ai Data Collection jobs in Colorado are:
Ai Data Collection jobs near you
Infographic showing various Ai Data Collection job openings in Colorado as of July 2026, with employment types broken down into 67% Full Time, 12% Part Time, and 21% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $55,352 per year, or $26.6 per hour.

Driver / Data Collector in Mount Pearl, Canada

TSMG

Full-time

Posted 13 days ago

Job description

Company description

Terry Soot Management Group (TSMG) is a field data collection company founded in 2017. 
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 in the EU countries. 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 from 3 to 6 months and will cover different data collection areas. 

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. Due to weather downtime, work on weekends is possible.
Requirements:
  • Must have a valid Driver Licence;
  • Good driving skills and clean driving record;
  • Private monitored parking space for corporate vehicle would be a plus; 
  • General car knowledge would be a plus;
  • Enjoys driving, within standard business hours;
  • Available for a minimum of 3 months;
  • Great communication and reporting skills; 
  • Tech savvy (drivers will use Gmail, Google Forms, Google Meet and WhatsApp);
  • High level of responsibility;
  • Self-motivated and detail-oriented.
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.
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