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Flexible Data Annotation Analyst Jobs in Indiana

Description UNDERSTANDING The Data Analyst/Programmer is responsible for leveraging organizational ... An adaptable and flexible attitude, allowing them to approach and solve a problem by examining it ...

New

... annotation and internal tooling. Data engineering skills for secure, large-scale ingestion from warehouses and file-based sources. Strong analytical problem-solving abilities and collaboration with ...

Data Architect

Indianapolis, IN

$61 - $78.25/hr

Lead the end‑to‑end design of data architectures supporting analytics, AI/ML, and operational ... Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts * Short-Term ...

Data Architect

Indianapolis, IN · On-site

$61 - $78.50/hr

Lead the endtoend design of data architectures supporting analytics, AI/ML, and operational ... Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts * Short-Term ...

Data Architect

Anderson, IN · On-site +1

$55.25 - $71/hr

You will collaborate with leading professionals in data analysis and processing, as well as in ... We are flexible! We have flexible hours and intensive working hours during the summer months. In ...

Data Engineer

New Albany, IN · On-site +1

$105K - $127K/yr

You will collaborate with leading professionals in data analysis and processing, as well as in ... We are flexible! We have flexible hours and intensive working hours during the summer months. In ...

... flexible environment that helps them succeed both at work and at home. Join our dynamic ... Explain advanced analytic and modeling procedures in the language that audiences with no predictive ...

... flexible environment that helps them succeed both at work and at home. Join our dynamic ... Explain advanced analytic and modeling procedures in the language that audiences with no predictive ...

Technical Analysis and Evaluation: * Provide annotated and labeled video from Naval Imagery ... You'll have the autonomy to take the time you need through a unique flexible time off benefit and ...

The ideal candidate will combine strong expertise in advanced analytics, operations research, and ... Flexible work arrangements * Up to 6% 401K matching Elanco is an EEO/Affirmative Action Employer ...

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Flexible Data Annotation Analyst information

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

To thrive as a Flexible Data Annotation Analyst, you need keen attention to detail, analytical thinking, and a basic understanding of data labeling processes, often supported by a high school diploma or relevant experience. Familiarity with annotation tools such as Labelbox, Prodigy, or similar platforms, as well as basic proficiency in spreadsheet software, is typically required. Strong time management, adaptability, and clear communication skills help you deliver accurate results and work effectively with remote teams. These abilities ensure high-quality, consistent data labeling that is critical for training reliable machine learning models.

How does a Flexible Data Annotation Analyst typically collaborate with other teams to ensure data quality?

As a Flexible Data Annotation Analyst, you will frequently interact with data scientists, machine learning engineers, and project managers to clarify annotation guidelines and resolve ambiguities in the data. Collaboration often involves participating in virtual meetings, providing feedback on annotation tools, and reporting inconsistencies or uncertainties encountered during the labeling process. This teamwork ensures that annotated datasets meet project standards and contribute to high-quality machine learning outcomes. Regular communication and openness to feedback are key to success in this collaborative environment.

What is a Flexible Data Annotation Analyst?

A Flexible Data Annotation Analyst is a professional responsible for labeling, categorizing, and tagging data—such as text, images, audio, or video—to prepare it for use in machine learning and artificial intelligence projects. The 'flexible' aspect typically means the role allows for remote work, adjustable hours, or project-based assignments. Analysts use specific tools and follow detailed guidelines to ensure data quality and consistency. This role is crucial for training accurate AI models, as well-annotated data helps improve the performance of automated systems.
What are the most commonly searched types of Data Annotation Analyst jobs in Indiana? The most popular types of Data Annotation Analyst jobs in Indiana are:
What cities in Indiana are hiring for Flexible Data Annotation Analyst jobs? Cities in Indiana with the most Flexible Data Annotation Analyst job openings:
Infographic showing various Flexible Data Annotation Analyst job openings in Indiana as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Data Analyst/ Programmer

Albanese Candy

Merrillville, IN • On-site

Full-time

Posted 12 hours ago


Job description

Description
UNDERSTANDING
The Data Analyst/Programmer is responsible for leveraging organizational data for the development of business analytics. Use machine learning, statistical methods and advanced analytics to analyze and interpret complex digital data.
CORE VALUES
Our 5 Core Values are more than just words, they're a way of life. We know that companies with a strong culture & a higher purpose perform better in the long run.
  • Own It
  • Hustle and Refuse to Settle
  • Love People
  • Act for the Greater Good
  • Find a way

WORKING RELATIONSHIP
  • IT team
  • IT leadership

RESPONSIBILITIES
  • Develop and maintain extract, transform and load programming.
  • Monitor data migration jobs and troubleshoot errors. Including API monitoring.
  • Lead and coordinate with stakeholders and IT team to develop innovative data analysis methodologies.
  • Utilize advanced analytics to extract valuable insights from large datasets, helping to shape business reporting.
  • Understand and develop machine learning models to automate data processes and enhance predictive analytics.
  • Ensure the accuracy and integrity of data used for analytical purposes through rigorous validation and testing.
  • Act as the SME for AI for business, investigating how the company can utilize AI across all aspects of the business.
  • Create process technical design specifications, create/execute test scripts as needed for projects or initiatives.
  • Be available for off-hour support tasks, as needed, and as part of any off-hour rotation schedule.
  • Comply with all company Quality, HACCP, GMP and Food Safety Standards.
  • Other duties as assigned

REQUIREMENTS
  • The ability to take initiative and be self-motivated
  • An adaptable and flexible attitude, allowing them to approach and solve a problem by examining it from different angles
  • Strong interpersonal skills
  • Written and verbal communication skills
  • The ability to collaborate within a team
  • Strong attention to detail
  • Developed skills in examination and analysis
  • In-depth knowledge and understanding of SDLC and change management.
  • Complex Problem Solving and Analytical skills
  • This position requires support of implementations after hours
  • Experience in supporting Enterprise software in manufacturing environment.
  • Experience in AWS, Azure of other AI engine software solutions.
  • Experience with API writing
  • Strong skills needed in verbal and written communication, including communicating effectively with business users and software developers
  • Excellent organizational and planning skills
  • Ability to lead and facilitate diverse groups of people to move towards solutions
  • Excellent analytical and problem-solving skills
  • Programming experience
  • Familiarity or experience with Agile/Scrum Framework is a plus.
  • Food manufacturing experience is a plus.
  • Must be able to speak, read and write in English.

EDUCATION
Bachelor of Science Degree or higher in Information Systems or relevant degree.