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Dataannotation Jobs in Michigan (NOW HIRING)

Private Equity Analyst

Lansing, MI · Remote

$50 - $60/hr

Join to apply for the Private Equity Analyst role at DataAnnotation . We are looking for a Private Equity Analyst to join our team to train AI models. You will measure the progress of these AI ...

Android Developer

Lansing, MI · On-site +1

$40/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front‐end, back‐end, full‐stack, machine learning, and other ...

Treasury Analyst

Lansing, MI · Remote

$50 - $60/hr

Join to apply for the Treasury Analyst role at DataAnnotation We are looking for a Treasury Analyst to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate ...

Overview Join to apply for the Freelance Writer role at DataAnnotation . We are looking for a Freelance Writer to join our team to train AI models. You will measure the progress of these AI chatbots ...

Join to apply for the Investor Relations Analyst role at DataAnnotation . We are looking for an Investor Relations Analyst to join our team to train AI models. You will measure the progress of these ...

Fixed Income Trader

Lansing, MI · Remote

$50 - $60/hr

Join to apply for the Fixed Income Trader role at DataAnnotation . We are looking for a Fixed Income Trader to join our team to train AI models. You will measure the progress of these AI chatbots ...

Join to apply for the Chief Accounting Officer role at DataAnnotation 1 day ago Be among the first 25 applicants We are looking for a Chief Accounting Officer to join our team to train AI models. You ...

Constitutional Lawyer

Lansing, MI · On-site

$50 - $60/hr

Join to apply for the Constitutional Lawyer role at DataAnnotation 4 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. We are looking for a ...

Join to apply for the Responsive Web Designer role at DataAnnotation We are looking for a Responsive Web Designer to help train and improve cutting‐edge AI models. You'll assess and enhance how AI ...

Join to apply for the Experience Designer role at DataAnnotation . We are looking for an Experience Designer to help train and improve cutting‐edge AI models. You'll assess and enhance how AI ...

Join to apply for the Digital Web Designer role at DataAnnotation 3 days ago Be among the first 25 applicants We are looking for a Digital Web Designer to help train and improve cutting‐edge AI ...

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Dataannotation information

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

To thrive as a Data Annotation Specialist, you need strong attention to detail, consistency, and a basic understanding of data labeling concepts, often supported by a high school diploma or relevant experience. Familiarity with annotation tools such as Labelbox, Supervisely, or CVAT, and sometimes basic knowledge of data formats and guidelines, is typically required. Excellent focus, time management, and the ability to follow detailed instructions help individuals excel in this role. These skills ensure the production of high-quality labeled datasets that are crucial for effective machine learning and AI model development.

What are some common challenges faced by Data Annotation professionals, and how can they be managed effectively?

Data Annotation professionals often encounter challenges such as maintaining high accuracy while labeling large volumes of data and staying consistent with annotation guidelines across different projects. To manage these challenges, it's important to regularly communicate with team members, seek clarification on ambiguous cases, and utilize quality assurance processes like peer reviews. Many teams use specialized annotation tools and periodic training sessions to help annotators stay aligned and efficient. Developing strong attention to detail and adaptability also helps tackle the evolving requirements of data annotation tasks.

What are data annotation jobs?

Data annotation jobs involve labeling or tagging data—such as text, images, audio, or video—to help train machine learning models. Annotators review raw data and add relevant information or classifications, such as identifying objects in a photo or transcribing spoken words. This work is essential for improving the accuracy of artificial intelligence systems. Data annotation can be performed manually or with the assistance of specialized software, and the tasks can range from simple to complex depending on the project requirements.

What is the difference between Dataannotation vs Data Analyst?

AspectDataannotationData Analyst
Required credentialsTypically high school diploma or equivalent; some roles may require basic technical skillsBachelor's degree in data science, statistics, or related field
Work environmentData labeling or annotation platforms, remote or on-siteOffice setting, often collaborative, with data analysis tools
Employer and industry usageTech companies, AI development, machine learning projectsBusiness, finance, healthcare, tech industries
Common search and comparison intentUnderstanding entry-level data roles, technical skills neededAnalyzing data, generating insights, decision-making

Dataannotation involves labeling data for machine learning, requiring basic technical skills and often minimal formal education. Data analysts interpret data to inform business decisions, requiring more advanced analytical skills and a degree. While both roles work with data, data annotation is more focused on preparing data, whereas data analysis involves deriving insights from data sets.

What cities in Michigan are hiring for Dataannotation jobs? Cities in Michigan with the most Dataannotation job openings:
Infographic showing various Dataannotation job openings in Michigan as of May 2026, with employment types broken down into 13% Full Time, and 87% Part Time. Highlights an 100% Remote job distribution.
Mobile Application Developer (Android)

Mobile Application Developer (Android)

DataAnnotation

Lansing, MI • On-site, Remote

$40/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Mobile Application Developer (Android) – DataAnnotation Join the DataAnnotation team and contribute to developing cutting‐edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for proficient programmers to help advance AI development. As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals – including front‐end, back‐end, full‐stack, machine learning, and other engineers – who are driving real‐world impact in AI development.

Our platform offers an engaging blend of flexibility and challenge: you'll work closely with state‐of‐the‐art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full‐time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you'll receive an email confirmation, and paid work will become available to you through our platform. Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.

Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, starting at $40+ USD per hour. Opportunities for higher‐paying projects are available with strong performance.

Impact: help shape the future of AI technologies. Responsibilities Design and solve diverse coding problems used to train AI systems with an emphasis on Android development. Write clear, high‐quality code snippets and detailed explanations.

Evaluate AI‐generated code for accuracy, performance, and clarity. Provide feedback that directly shapes the next generation of AI models. Qualifications Fluency in English (native or bilingual level).

Preferred experience in Kotlin. Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift. Excellent writing and grammar skills.

A bachelor's degree (completed or in progress). Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred. Notes Payment is made via PayPal.

We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

Those located outside of these countries will not see work or assessments available on our site at this time. #J-18808-Ljbffr