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Remote Data Annotation Analyst Jobs in Detroit, MI

Privacy Analyst (Remote)

Dearborn, MI · Remote

$85K - $100K/yr

Support Data Subject Access Request (DSAR) processes and privacy-related issue resolution * Ensure ... Strong analytical and problem-solving skills * Knowledge of privacy regulations such as CCPA and ...

The Litigation Project Analyst position is fully remote and open to our offices in Michigan ... Perform data intake and basic triage of structured and unstructured data under the direction of ...

This remote role may require occasional travel to client sites located in Ohio, Pennsylvania ... Experience using Excel for data analysis, including vlookups, xlookups and pivot tables * Ability ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

REMOTE Long Term contract Responsible for the planning, integration, test casing, scripting and ... Develop, document and maintain the test data, data validation, end to end testing flows.; Conducts ...

QA Analyst

Detroit, MI · On-site +1

REMOTE Long Term contract Responsible for the planning, integration, test casing, scripting and ... Develop, document and maintain the test data, data validation, end to end testing flows.; Conducts ...

Showing results 21-40

Remote Data Annotation Analyst information

See Detroit, MI salary details

$33.7K

$81.8K

$134.6K

How much do remote data annotation analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote data annotation analyst in Detroit, MI is $81,811.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $96,000.00 per year, depending on experience, location, and employer.

How does a remote data annotation analyst typically collaborate with team members and ensure consistent labeling standards?

As a Remote Data Annotation Analyst, you’ll frequently work within a distributed team, using collaboration tools such as Slack, project management platforms, and shared annotation guidelines. Regular virtual meetings and feedback sessions help ensure everyone applies labeling standards consistently and resolves ambiguities. It’s common to review peer annotations and participate in quality assurance checks, promoting a culture of accuracy and continuous improvement. Clear communication and attention to detail are essential for maintaining high-quality annotated datasets across the team.

What is a remote data annotation analyst?

Remote Data Annotation Analysts are professionals who label, categorize, or tag data—such as images, text, audio, or video—from a remote location. Their work helps train machine learning algorithms by providing structured datasets that computers can learn from. These analysts use specialized tools to identify relevant features in raw data, ensuring accuracy and consistency. The role often requires attention to detail, basic technical skills, and the ability to follow specific guidelines or instructions. This position is commonly found in industries like artificial intelligence, autonomous vehicles, and natural language processing.

What is the difference between Remote Data Annotation Analyst vs Remote Data Labeler?

AspectRemote Data Annotation AnalystRemote Data Labeler
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentHome-based, flexible hoursHome-based, flexible hours
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnalyzing and verifying labeled data, quality controlLabeling data, annotating images, text, or audio

The main difference is that Remote Data Annotation Analysts focus on verifying and ensuring the quality of labeled data, often involving analysis and review, while Remote Data Labelers primarily perform the task of labeling or annotating raw data. Both roles are essential in AI development and share similar work environments and skill requirements, but their specific responsibilities differ in scope and focus.

What are the key skills and qualifications needed to thrive as a remote data annotation analyst?

To thrive as a Remote Data Annotation Analyst, you need strong attention to detail, analytical thinking, and a high school diploma or equivalent, with many roles preferring experience in data-related tasks. Familiarity with data annotation platforms (like Labelbox or AWS SageMaker Ground Truth) and basic understanding of data management tools are typically required. Excellent time management, self-motivation, and clear communication help analysts manage remote workloads and collaborate effectively with distributed teams. These skills ensure accurate, high-quality annotated data essential for training and validating machine learning models.
What are the most commonly searched types of Data Annotation Analyst jobs in Detroit, MI? The most popular types of Data Annotation Analyst jobs in Detroit, MI are:
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What cities near Detroit, MI are hiring for Remote Data Annotation Analyst jobs? Cities near Detroit, MI with the most Remote Data Annotation Analyst job openings:

Investigative Forensic Support Analyst

Magnus Management Group LLC

Clinton Township, MI • Remote

$90K - $105K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago


Job description

Benefits:
  • Paid time off
  • 401(k)
  • Dental insurance
  • Health insurance
  • Tuition assistance
  • Vision insurance

Join Magnus Management Group LLC as an Investigative Forensic Support Analyst, where you will play a vital role in uncovering insights and supporting investigations. This position offers an exciting opportunity to work with a dedicated team in a dynamic environment, helping to ensure justice and accountability.
Responsibilities:
  • Conduct thorough investigations and analysis of forensic evidence.
  • Collaborate with law enforcement and legal teams to provide expert support.
  • Prepare detailed reports and presentations of findings for stakeholders.
  • Utilize advanced forensic tools and methodologies to analyze data.
  • Assist in the development of investigative strategies and protocols.
  • Maintain accurate records and documentation of all investigative processes.
  • Stay updated on industry trends and advancements in forensic technology.
  • Provide training and support to junior analysts as needed.
Requirements:
  • Bachelor's degree in Criminal Justice, Forensic Science, or related field.
  • Minimum of 6 years of experience in forensic analysis or investigative support.
  • Strong analytical and problem-solving skills with attention to detail.
  • Proficient in forensic software and data analysis tools.
  • Excellent communication and interpersonal skills.
  • Ability to work independently and as part of a team.
  • Knowledge of legal standards and procedures related to investigations.
  • Certifications in forensic analysis or related fields are a plus.

This is a remote position.