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Data Annotation Manager Jobs in Indiana (NOW HIRING)

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Data Annotation Manager information

See Indiana salary details

$29.5K

$92.4K

$163.7K

How much do data annotation manager jobs pay per year?

As of Aug 2, 2026, the average yearly pay for data annotation manager in Indiana is $92,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $119,400.00 per year, depending on experience, location, and employer.

What is the salary of data annotation manager?

The salary of a data annotation manager typically ranges from $60,000 to $120,000 annually, depending on experience, location, and company size. Senior roles or those in high-cost areas may offer higher compensation, and familiarity with annotation tools and team management can influence pay levels.

How much do data annotation project managers make?

Data annotation project managers typically earn between $60,000 and $100,000 annually, depending on experience, location, and company size. They oversee annotation teams, coordinate workflows, and ensure quality standards are met, often requiring familiarity with annotation tools and project management skills.

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

Data Annotation Managers often encounter challenges such as maintaining high annotation quality across large and diverse datasets, managing a distributed team of annotators, and meeting tight project deadlines. To address these, it's important to implement robust quality assurance processes, provide ongoing training for annotators, and establish clear communication channels. Leveraging annotation tools with built-in validation features can also help ensure consistency and accuracy. Building a positive and collaborative team environment further contributes to better outcomes and workflow efficiency.

What does a Data Annotation Manager do?

A Data Annotation Manager oversees the process of labeling and categorizing data used to train machine learning models. They manage teams of annotators, ensure data quality, develop annotation guidelines, and coordinate with data scientists to meet project requirements. Their role is critical in maintaining high standards of accuracy and efficiency, as well as ensuring that datasets are properly prepared for AI and machine learning applications.

Does data annotation actually pay well?

Data annotation managers typically earn competitive salaries that reflect their experience and responsibilities, often ranging from entry-level to senior roles. Compensation can vary based on industry, location, and company size, with specialized skills in tools like labeling platforms and quality control often leading to higher pay.

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

To thrive as a Data Annotation Manager, you need expertise in data labeling processes, quality control, and a solid understanding of machine learning concepts, usually backed by a degree in computer science or a related field. Proficiency with annotation tools such as Labelbox, Supervisely, or CVAT, as well as experience with project management systems, is commonly required. Exceptional leadership, attention to detail, and strong communication skills help manage teams and ensure high annotation accuracy. These skills are critical for delivering reliable labeled datasets, which are essential for building effective AI and machine learning models.

How hard is it to get hired by data annotation?

Getting hired as a data annotation manager typically requires relevant experience in data labeling, familiarity with annotation tools, and strong organizational skills. The hiring process often involves reviewing previous work, technical assessments, and demonstrating attention to detail, with opportunities available in companies that outsource data labeling tasks.

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

AspectData Annotation ManagerData Labeling Specialist
CredentialsBachelor's degree in related field, experience in data managementHigh school diploma or equivalent, training in labeling tools
Work EnvironmentTeam management, project oversight, collaboration with data scientistsHands-on labeling work, using annotation tools, focused on data tagging
Industry UsageUsed in AI/ML projects for overseeing annotation teamsPerforms the actual data labeling tasks in machine learning workflows

The Data Annotation Manager oversees the entire annotation process, managing teams and ensuring quality, while the Data Labeling Specialist focuses on executing labeling tasks. Both roles are essential in AI/ML data preparation but differ in responsibilities and scope.

What are the most commonly searched types of Data Annotation jobs in Indiana? The most popular types of Data Annotation jobs in Indiana are:
What are popular job titles related to Data Annotation Manager jobs in Indiana? For Data Annotation Manager jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Annotation Manager jobs in Indiana look for? The top searched job categories for Data Annotation Manager jobs in Indiana are:
What cities in Indiana are hiring for Data Annotation Manager jobs? Cities in Indiana with the most Data Annotation Manager job openings:
Data Annotation Manager jobs near you
Infographic showing various Data Annotation Manager job openings in Indiana as of July 2026, with employment types broken down into 2% Locum Tenens, 33% Full Time, 26% Part Time, 2% Contract, 36% Nights, and 1% Summer. Highlights an 56% Physical, 1% Hybrid, and 43% Remote job distribution, with an average salary of $92,439 per year, or $44.4 per hour.

Senior Computer Vision Engineer

Matrix Design Group LLC

Newburgh, IN • On-site

$99K - $136K/yr

Full-time

Re-posted 23 days ago

Job description

Job Summary:
Matrix Design Group LLC is a company that designs, manufactures, and sells innovative technological products to enhance safety. The Senior Computer Vision Engineer will collaborate with software engineers and product managers to develop vision-based artificial intelligence algorithms, ensuring the design of safe and effective computer vision solutions.
Responsibilities:
• Prepare customer-facing presentations for custom model deployments
• Implement CI/CD pipelines for models, data, and source code
• Work with product and project managers to ensure that projects proceed on time and on budget
• Work with other engineers to develop a working understanding of how the AI is developing
• Document process steps to ensure reasonable human oversight
• Work with other engineers to monitor changes in development and implement transfer learning and knowledge distillation between iterative machine learning models
• Mentor junior engineers and interns
• Participate in code reviews and sprint planning
• Understand and apply best practices for object detection modeling
• Understand and apply TensorFlow, PyTorch, and ONNX core concepts
• Understand and apply hardware accelerator compilation and execution
• Understand and apply Jupyter Notebooks/Google Colab concepts
• Understand and apply source control best practices for machine learning, ETL, and data annotation pipelines
Qualifications:
Required:
• All applicants must be able to provide proof of eligibility to work in the United States.
• Employment is contingent upon the successful completion of the I-9 form, as required by federal law.
• Candidates will be required to undergo an employment verification process before beginning work.
• Bachelor’s degree in a related field, such as computer science, software engineering or data science, is recommended.
• 7+ years of experience in the ML space.
• An expert-level understanding of Python with a focus on ML framework such as TensorFlow or PyTorch.
• Proficient with state-of-the-art object detection algorithms such as YOLO, DETR, and DINO.
• Experience with containerization technologies such as Docker, Kubernetes, etc.
• Experience developing software using one or more of the following languages (C/C++, C#, Python).
• Experience with Linux and/or Windows OS.
• Experience with model, container, and package registries.
• Experience with ML tools such as DVC, MLFlow, Lake FS, Label Studio, Azure ML, Azure AI Foundry.
• Experience with SQL databases, vector embeddings, and vector databases such as Milvus, pgvector, Pinecone, Chroma, etc.
• Experience with multimodal models such as CLIP, GPT-4V, Llama.
• Experience with classical CV algorithms such as Canny Edge Detector, SIFT, RANSAC, Optical Flow, SLAM, etc.
• Strong understanding of source control concepts and CI/CD pipelines.
• Must have strong communication, computer, documentation, presentation, and interpersonal skills.
Preferred:
• Master’s degree in Artificial Intelligence a plus.
Company:
Matrix Design Group (Matrix) is the safety and productivity technology leader for industrial applications where people and mobile equipment work in close proximity. Founded in 1996, the company is headquartered in Newburgh, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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