1

Flexible Ai Data Collection Jobs in Rochester, MI

... data collection and timely test execution. The successful candidate will work closely with ... By submitting your application, you acknowledge that recruiting technologies, including AI-assisted ...

Sr Software Engineer

Southfield, MI · On-site

$110 - $150/hr

... for data collection, storage, transformation, and analysis. Plan, design, build, and maintain ... Work closely with AI/ML engineers, data scientists, and product managers to understand data ...

About the Project TSMG is looking for participants to support a large-scale Robotics AI video data collection project. You will wear a lightweight head-mounted camera while completing simple everyday ...

About the Project TSMG is looking for participants to support a large-scale Robotics AI video data collection project. You will wear a lightweight head-mounted camera while completing simple everyday ...

Work You'll Do As a Lead Data Engineer II on the AI & Data team, you will be responsible for ... flexible, working implementations * Design and build out medallion (bronze/silver/gold) layers in ...

... data, select, train, validate, and deploy AI models and applications. * Develops roadmaps that ... We've differentiated ourselves by being fast, flexible, creative and honest . Throw out everything ...

Our comprehensive offering includes: affordable medical, dental, and vision care; flexible spending ... Legal/Trade Compliance: conflict minerals data collection and filing support, sanctions screening ...

Showing results 41-60

Flexible Ai Data Collection information

See Rochester, MI salary details

$14

$23

$29

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

As of Sep 4, 2026, the average hourly pay for flexible ai data collection in Rochester, MI is $23.29, according to ZipRecruiter salary data. Most workers in this role earn between $21.44 and $23.89 per hour, depending on experience, location, and employer.

What is flexible AI data collection?

Flexible AI Data Collection refers to gathering and preparing various types of data—including text, images, audio, or video—for use in training artificial intelligence (AI) systems. These roles often involve tasks like labeling data, transcribing audio, or categorizing images. The 'flexible' aspect means that work schedules and project types can vary, allowing contributors to choose tasks that fit their availability. Such positions are essential for improving AI accuracy and are typically offered remotely by tech companies or data annotation platforms.

What are the key skills and qualifications needed to thrive as a flexible AI data collection specialist?

To thrive as a Flexible AI Data Collection Specialist, you need strong analytical abilities, attention to detail, and familiarity with data management, often supported by a background in computer science or related fields. Proficiency with data annotation tools, spreadsheet software, and sometimes knowledge of programming languages like Python is typically required. Excellent communication, adaptability, and time management are standout soft skills in this role. These capabilities are crucial for ensuring accurate, high-quality datasets that power effective AI model development.

What are some common challenges faced in a flexible AI data collection role, and how can they be managed?

In a Flexible AI Data Collection position, one of the main challenges is ensuring data quality and consistency while working independently or on varying schedules. Since tasks often involve labeling or collecting data from diverse sources, attention to detail and following precise guidelines are crucial. Communication with project managers or team leads is important when clarifications are needed, and staying organized helps manage multiple tasks efficiently. Regular feedback sessions and utilizing available support resources can help address challenges quickly and maintain high standards.

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

AspectFlexible Ai Data CollectionData Annotator
CredentialsBasic technical skills, familiarity with data collection toolsAttention to detail, understanding of annotation guidelines
Work EnvironmentRemote or on-site, often involves fieldwork or online platformsPrimarily remote, working with annotation software
Industry UsageAI, machine learning, data servicesAI, machine learning, data labeling
Common TasksGathering and organizing data from various sourcesLabeling and annotating data for model training

Flexible Ai Data Collection involves gathering raw data from multiple sources, focusing on data acquisition. In contrast, Data Annotator specializes in labeling and preparing data for AI models. Both roles are essential in AI development but differ in their core responsibilities and skill requirements.

What job categories do people searching Flexible Ai Data Collection jobs in Rochester, MI look for?

The top searched job categories for Flexible Ai Data Collection jobs in Rochester, MI are:

What cities near Rochester, MI are hiring for Flexible Ai Data Collection jobs?

Cities near Rochester, MI with the most Flexible Ai Data Collection job openings:

Infographic showing various Flexible Ai Data Collection job openings in Rochester, MI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $48,453 per year, or $23.3 per hour.

Chassis Dynamometer Technician

G-TECH Services

Milford, MI • On-site

$32 - $35/hr

Contractor

Medical, Dental, Vision, Life, PTO

Posted 13 days ago


Job description

1st shift- 100% onsite.

This hands-on role is responsible for preparing, instrumenting, operating, and troubleshooting vehicles and test equipment to ensure accurate, high-quality data collection and timely test execution.

The successful candidate will work closely with engineering teams to perform chassis dynamometer testing, support vehicle development programs, and help validate compliance with both federal regulations and internal engineering requirements.

Top Skills Needed

  1. Instrumentation installation and troubleshooting
  2. Data acquisition and analysis
  3. Chassis dynamometer testing experience

 Typical Day

  • Review assigned testing schedules and work tickets.
  • Prepare vehicles and dynamometer cells for testing.
  • Install instrumentation and data acquisition equipment.
  • Operate chassis dynamometer systems to simulate real-world driving conditions.
  • Collect and analyze noise and vibration data.
  • Partner with engineers to evaluate results and make vehicle modifications when necessary.
  • Support multiple testing cells and collaborate with technicians across the laboratory.
  • Complete documentation and prepare vehicles for subsequent testing activities.

Required Qualifications

  • Associate degree in Automotive Technology or equivalent combination of education and experience.
    • ASE Master Technician certification with significant dealership experience may be considered equivalent.
  • 2 to 4 years of hands-on automotive mechanical and/or electrical experience.
  • Valid driver's license.
  • Experience with instrumentation installation, troubleshooting, and repair.
  • Strong mechanical assembly and disassembly skills.
  • Experience using hand tools, air tools, and automotive diagnostic equipment.
  • Knowledge of data acquisition systems and test data troubleshooting.
  • Strong organizational and time management skills.


Company Description

Why work at G-Tech?
G-Tech is a woman-owned company that values your ideas, encourages your growth, and always has your back. When you work at G-Tech, not only do you get health and dental benefits, but you also have training opportunities, flexible/remote work options, growth opportunities, 401K and competitive pay. Apply today!

G-Tech is an Equal Opportunity Employer (EOE), all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
By submitting your application, you acknowledge that recruiting technologies, including AI-assisted tools, may be used to support candidate evaluation, sourcing, matching, and communications.