2

Ai Data Labeling Remote Jobs in Michigan (NOW HIRING)

AI Data Engineer

Troy, MI ยท Remote

$80K - $100K/yr

AI Data Engineer - Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is ...

Deep knowledge in AI, data mining, data evaluation, and proficiency in compiling an effective and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Data-Video Generalist Job Type: Contractor Location: Remote - based in Alabama, Alaska, Arkansas ... Complete a device compatibility check and an AI-enabled interview during onboarding. Required ...

Data-Video Generalist Job Type: Contractor Location: Remote - based in Alabama, Alaska, Arkansas ... Complete a device compatibility check and an AI-enabled interview during onboarding. Required ...

Data-Video Generalist Job Type: Contractor Location: Remote - based in Alabama, Alaska, Arkansas ... Complete a device compatibility check and an AI-enabled interview during onboarding. Required ...

Data-Video Generalist Job Type: Contractor Location: Remote - based in Alabama, Alaska, Arkansas ... Complete a device compatibility check and an AI-enabled interview during onboarding. Required ...

Data-Video Generalist Job Type: Contractor Location: Remote - based in Alabama, Alaska, Arkansas ... Complete a device compatibility check and an AI-enabled interview during onboarding. Required ...

AI Security Engineer

Troy, MI ยท Remote

$80K - $105K/yr

AI Security Engineer - Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the Vision: Own the strategy and execution of the Data, Analytics and AI Practice. * Build the Practice:

Principal Data Engineer

Ann Arbor, MI ยท On-site +1

$170K - $210K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade ...

next page

Showing results 1-20

Ai Data Labeling Remote information

What are some typical challenges faced by AI data labeling remote professionals, and how can they be overcome?

Remote AI data labeling professionals often encounter challenges such as maintaining attention to detail over repetitive tasks and ensuring consistent quality across large datasets. To overcome these challenges, it's helpful to take regular breaks, stay organized with task management tools, and actively communicate with your team leaders about any uncertainties or edge cases in the data. Many teams provide detailed guidelines and ongoing feedback to support accuracy and minimize errors. Adhering to best practices and engaging in regular check-ins with supervisors can help maintain motivation, ensure consistent performance, and contribute positively to team goals.

What are the key skills and qualifications needed to thrive in the AI data labeling remote position, and why are they important?

To thrive as an AI Data Labeling Remote professional, you need keen attention to detail, strong organizational skills, and familiarity with data annotation concepts, typically supported by a high school diploma or relevant experience. Proficiency with common labeling tools like Labelbox, Supervisely, or proprietary platforms, and a basic understanding of data privacy and security protocols, are often required. Consistency, reliability, time management, and clear communication are crucial soft skills that set candidates apart. These abilities ensure high-quality, accurate labeling of datasets, which is critical for training effective and unbiased AI models.

What is an AI data labeling remote?

An AI Data Labeling Remote job involves annotating data, such as images, text, audio, or videos, to help train machine learning models. Tasks may include drawing bounding boxes, categorizing content, or transcribing text with accuracy. This role is typically performed online, allowing individuals to work from home with flexible hours. Strong attention to detail and familiarity with labeling tools are essential for success in this position.

What are the most commonly searched types of Ai Data Labeling jobs in Michigan? The most popular types of Ai Data Labeling jobs in Michigan are:
What are popular job titles related to Ai Data Labeling Remote jobs in Michigan? For Ai Data Labeling Remote jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Ai Data Labeling Remote jobs in Michigan look for? The top searched job categories for Ai Data Labeling Remote jobs in Michigan are:
What cities in Michigan are hiring for Ai Data Labeling Remote jobs? Cities in Michigan with the most Ai Data Labeling Remote job openings:
Infographic showing various Ai Data Labeling Remote job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

$80K - $100K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

AI Data Engineer โ€“ Remote
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: AI Data Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $80,000โ€“$100,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary
We are seeking an AI Data Engineer to build and operate the large-scale data systems that power modern AI training and evaluation pipelines. The role combines deep data engineering expertise with a strong understanding of AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities. The ideal candidate has experience operating petabyte-scale data systems, strong software engineering fundamentals, and clear understanding of how data infrastructure choices propagate into model quality and training efficiency.
Required Qualifications
  • Bachelorโ€™s or Masterโ€™s degree in Computer Science or a related field.
  • Six or more years of data engineering experience, with significant work supporting ML or AI workloads.
  • Strong proficiency in Python and at least one JVM or systems language.
  • Deep experience with modern data processing frameworks such as Spark, Ray, or Beam.
  • Hands-on experience operating petabyte-scale storage and pipeline systems.
  • Strong understanding of distributed systems, data modeling, and storage formats.
  • Experience with dataset versioning, lineage, and reproducibility for ML workflows.
  • Familiarity with high-throughput data loading for accelerator-based training.
  • Strong software engineering practices including testing, CI/CD, and code review.
  • Excellent communication and cross-functional collaboration skills.
Preferred Qualifications
  • Experience with multimodal datasets at large scale.
  • Familiarity with data quality tooling and dataset evaluation methodology.
  • Exposure to privacy-preserving data systems and regulated data handling.
  • Open-source contributions to data infrastructure projects.
  • Experience supporting frontier model training pipelines.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to hilda@bvteck.com. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
 

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.