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Data Annotation Project Manager Jobs in Rochester, MI

Roush

Project Manager

Livonia, MI

The Project Manager will manage multiple projects and teams to ensure project goals are achieved ... Collect data from customers, suppliers, Bill of Material, and other resources to prepare ...

V2Soft

Privacy Project Manager

Auburn Hills, MI

This includes cookie consent implementation, API integrations, Data Subject Access Requests (DSAR ... Technical Project Manager - Privacy & Consent Location: Auburn Hills, MI Duration: Long-term ...

DCS Corp

Project Manager

Sterling Heights, MI · On-site

Project Manager with direct DoD, Government, and/or Federal experience. Essential Job Functions ... The applicant shall analyze information and data, and assess progress of programs, projects, and ...

JLL

Relocation Project Manager

Detroit, MI

Ensure performance of data input into the CAFM system to maintain occupancy information * Oversee the work orders and small project management, including but not limited to furniture reconfigurations ...

DCS CORPORATION

Project Manager

Sterling Heights, MI · On-site

Project Manager with direct DoD, Government, and/or Federal experience. Essential Job Functions ... The applicant shall analyze information and data, and assess progress of programs, projects, and ...

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Data Annotation Project Manager information

See Rochester, MI salary details

$15

$52

$73

How much do data annotation project manager jobs pay per hour?

As of May 30, 2026, the average hourly pay for data annotation project manager in Rochester, MI is $52.93, according to ZipRecruiter salary data. Most workers in this role earn between $45.82 and $61.97 per hour, depending on experience, location, and employer.

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

To thrive as a Data Annotation Project Manager, you need strong project management skills, a solid understanding of data annotation processes, and experience with quality assurance, often supported by a degree in a relevant field. Familiarity with annotation tools (like Labelbox or Supervisely), workflow management platforms, and sometimes agile or PMP certification is highly beneficial. Exceptional communication, attention to detail, and leadership abilities help you effectively coordinate teams and ensure project deliverables meet quality standards. These skills are essential for managing complex annotation projects efficiently, maintaining data integrity, and supporting successful machine learning outcomes.

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

One of the primary challenges Data Annotation Project Managers face is ensuring high-quality, consistent labeling across large and sometimes distributed annotation teams. Managing tight deadlines while maintaining annotation accuracy requires effective training, clear guidelines, and regular quality checks. Additionally, balancing communication between data scientists, clients, and annotators is crucial to align expectations and resolve ambiguities quickly. Successful managers often implement robust feedback loops, leverage annotation tools with built-in quality control features, and foster an open environment for continuous improvement.

What is a Data Annotation Project Manager?

A Data Annotation Project Manager is responsible for overseeing projects that involve labeling and categorizing data, such as images, text, or audio, to train machine learning models. They coordinate teams of annotators, manage project timelines, and ensure the quality and accuracy of the annotated data. This role often acts as a bridge between data scientists, clients, and annotation teams, ensuring project requirements are met efficiently and effectively.

What is the difference between Data Annotation Project Manager vs Data Labeling Specialist?

AspectData Annotation Project ManagerData Labeling Specialist
CredentialsTypically requires project management experience, certifications in data management or related fieldsOften requires basic technical skills, familiarity with labeling tools, sometimes certifications in data annotation
Work EnvironmentOversees teams, manages projects, coordinates workflows in office or remote settingsPerforms labeling tasks, often in a remote or on-site environment, focused on data tagging
Employer & Industry UsageUsed by tech companies, AI firms, and data service providers for managing annotation projectsEmployed within similar industries, focusing on executing labeling tasks under supervision

The main difference is that the Data Annotation Project Manager oversees and coordinates annotation projects, ensuring quality and deadlines, while the Data Labeling Specialist focuses on executing the labeling tasks themselves. Both roles are essential in the data annotation process but differ in responsibilities and scope.

What job categories do people searching Data Annotation Project Manager jobs in Rochester, MI look for? The top searched job categories for Data Annotation Project Manager jobs in Rochester, MI are:
What cities near Rochester, MI are hiring for Data Annotation Project Manager jobs? Cities near Rochester, MI with the most Data Annotation Project Manager job openings:
Data Annotation Project Manager jobs near you
Infographic showing various Data Annotation Project Manager job openings in Rochester, MI as of May 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $110,102 per year, or $52.9 per hour.
Remote Financial Planning & Analysis Manager - AI Trainer ($50-$60 per hour)

Remote Financial Planning & Analysis Manager - AI Trainer ($50-$60 per hour)

Data Annotation

Fraser, MI • Remote

$50 - $60/hr

Full-time, Part-time, Contractor

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

Job description

DataAnnotation is committed to creating high-quality AI. Join our team to help train the nextgeneration of AI while enjoying the flexibility of remote work and the freedom to set your ownschedule. This role is designed to fit a variety of lifestyles — whether you're looking tocontribute part-time alongside a current position, pursue it full-time, or engage periodically as aflexible professional opportunity.

We're currently expanding into an exciting new area – teaching AI Assistant models to be amore useful tool for finance professionals. We're seeking experienced finance professionalswith advanced degrees (MBA+) and professional experience to use their expertise to help shapehow AI understands financial principles and decision-making. We're growing a team of finance experts, and as the team grows, so will your opportunities.

Inthis role, you might: Review and improve AI Assistant answers to questions about macro trends, corporatefinance, and capital markets Leverage your education and work experience to check the reasoning and accuracy of anAI Assistant's work Push the models with complex, real-world scenarios and edge cases to see where theirreasoning holds up – and where it doesn't. Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline.

A Master's or PhD (completed or in progress) is stronglypreferred. Relevant backgrounds include Financial Accounting, Investment Banking, CorporateDevelopment, Wealth Management, and Insurance Planning. Benefits: This is a full-time or part-time REMOTE position You'll be able to choose which projects you want to work on You can work on your own schedule Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-qualityand high-volume work Responsibilities: Give AI chatbots diverse and complex problems and evaluate their outputs Evaluate the quality produced by AI models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal.

We will never ask for any money from you. PayPal will handleany currency conversions from USD. This is an independent contract position.

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