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Senior Data Annotation Analyst Jobs in Indiana (NOW HIRING)

Senior Data Engineer

Indianapolis, IN · Hybrid

$106K - $197K/yr

We are seeking a Senior Data Engineer with strong analytical skills to join our growing Data and Analytics Engineering team in the Frontier and PL Distribution space. This is an exciting opportunity ...

Senior Data Engineer

Indianapolis, IN · On-site

$101K - $137K/yr

Job Summary Eli Lilly and Company is seeking a highly skilled and experienced Sr Data Engineer Lead ... Collaborate with data scientists, analysts, and other collaborators to understand data requirements ...

Data Engineer

Carmel, IN · On-site

$114K - $137K/yr

Supports the refinement and maintenance of BI-focused data architecture under guidance from senior data engineers. * Assists in conducting gap analysis on source system databases compared to the ...

Data Engineer

Carmel, IN · On-site

$114K - $137K/yr

Supports the refinement and maintenance of BI-focused data architecture under guidance from senior data engineers. * Assists in conducting gap analysis on source system databases compared to the ...

Sr. Data Scientist

Indianapolis, IN · On-site

$110.21 - $121.23/hr

Design and execute geospatial analyses to support product and business decision-making * Build, validate, and maintain spatial data models and pipelines * Query and manage geospatial datasets using ...

Senior Database Analyst

Crane, IN · On-site

$86K - $108K/yr

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... MANTECH seeks a motivated, career and customer-oriented Senior Database Administrator to join our ...

Senior Database Analyst

Crane, IN

$86K - $108K/yr

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... MANTECH seeks a motivated, career and customer-oriented Senior Database Administrator to join our ...

Sr. Data Engineer

Indianapolis, IN · Remote

$101K - $137K/yr

As a Senior Data Engineer, you will be a key technical contributor and operational owner within our ... analysis and dimensional modeling through to the KALC (Kobie Alchemy Loyalty Cloud) platform tables ...

Sr. Data Scientist

Indianapolis, IN · On-site

$80 - $88/hr

Design and execute geospatial analyses to support product and business decision-making * Build, validate, and maintain spatial data models and pipelines * Query and manage geospatial datasets using ...

Senior Manager Data Architecture

Columbus, IN

$62.50 - $83.75/hr

Sr. Manager, Data Architecture About Circle K Circle K is a global leader in convenience and fuel ... Partner with Data Engineering, BI, Analytics, Platform, DevOps/DataOps, Data Governance, and ...

Data Engineer I

Fort Wayne, IN

$113K - $135K/yr

... senior engineers. Assists in the collection, processing, and storage of data from various sources to ensure its availability for analysis and reporting. Supports data validation and maintains data ...

Showing results 41-60

Senior Data Annotation Analyst information

What is a senior data annotation analyst?

Senior Data Annotation Analysts are experienced professionals who oversee the process of labeling and tagging data, such as text, images, or audio, to train machine learning models. They are responsible for ensuring high-quality annotations, developing guidelines, and often mentoring junior annotators. Their work is crucial for the success of AI and machine learning projects, as accurate data annotation directly impacts model performance. Senior analysts also collaborate with data scientists and engineers to refine annotation processes and improve data quality.

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

To thrive as a Senior Data Annotation Analyst, you need expertise in data labeling, analytical thinking, and a strong understanding of machine learning concepts, often supported by a relevant degree or significant experience in data operations. Familiarity with annotation platforms (like Labelbox or Supervisely), data management tools, and quality assurance processes is typically required. Attention to detail, problem-solving, and the ability to communicate feedback effectively are crucial soft skills for this role. These competencies ensure high-quality data sets that drive accurate machine learning models and improve project outcomes.

How does a senior data annotation analyst typically collaborate with machine learning engineers and data scientists?

As a Senior Data Annotation Analyst, you will often work closely with machine learning engineers and data scientists to ensure that labeled data meets project requirements and quality standards. You may participate in meetings to discuss annotation guidelines, clarify ambiguous cases, and provide feedback on data challenges that arise. Your expertise in annotation tools and processes helps streamline workflows and ensures that the annotated datasets are reliable, which is critical for model training and evaluation. Collaboration is key, and you'll be expected to communicate effectively across teams to address issues and continuously improve the data pipeline.

What is the difference between Senior Data Annotation Analyst vs Data Annotation Specialist?

AspectSenior Data Annotation AnalystData Annotation Specialist
CredentialsBachelor's degree in related field, experience in data annotationHigh school diploma or equivalent, entry-level experience
Work EnvironmentCollaborative teams, project management, quality assuranceIndividual tasks, data labeling, basic quality checks
Industry UsageTech, AI, machine learning companiesAI startups, data labeling firms, research projects

The Senior Data Annotation Analyst typically has more experience, handles complex annotation projects, and oversees quality control, whereas the Data Annotation Specialist focuses on basic labeling tasks. Both roles are essential in AI data preparation, but the senior analyst often leads projects and ensures standards are met.

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 Senior Data Annotation Analyst jobs? Cities in Indiana with the most Senior Data Annotation Analyst job openings:

Senior Data Engineer

Liberty Mutual

Indianapolis, IN • Hybrid

$106K - $197K/yr

Full-time

Posted 17 days ago


Liberty Mutual rating

8.9

Company rating: 8.9 out of 10

Based on 148 frontline employees who took The Breakroom Quiz

48th of 304 rated insurance


Job description


Description

At Liberty Mutual, technology isn't just a part of our business — it's what drives us forward. We deliver our customers peace of mind every day by helping them protect what they value most. Our passion for placing the customer at the center of everything we do is driving a transformational shift at Liberty Mutual.

This is a hybrid role requiring 2 days in the office a week in Boston, Portsmouth, or Indianapolis

**This is a U.S. based role**

We are seeking a Senior Data Engineer with strong analytical skills to join our growing Data and Analytics Engineering team in the Frontier and PL Distribution space. This is an exciting opportunity for an engineer who brings a blend of technical data engineering expertise and business analyst instincts — someone who not only builds data solutions but deeply understands the data they work with and the business problems they solve.

Operating as an agile team within a Fortune 100 company, you will be on the front edge of an IT transformation, working collaboratively with business stakeholders, data scientists, and engineering peers to design and deliver high-quality data solutions.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines, data models, and integration processes using modern cloud-based technologies (AWS, Snowflake, etc.)
  • Analyze complex data sets and technical problems to design effective, flexible, and innovative solutions that meet business needs
  • Collaborate closely with Product Owners, business stakeholders, and cross-functional teams to translate business requirements into technical data solutions
  • Build and support ETL/ELT pipelines for structured and unstructured data from internal and external sources, including APIs, flat files, and enterprise applications
  • Implement data quality checks, validation rules, reconciliations, exception handling, and monitoring to ensure data integrity
  • Develop automated tests across multiple scopes (Unit, System, Integration, Regression) to ensure reliability and accuracy of data solutions
  • Perform data profiling, root cause analysis, and troubleshooting of data issues across production and non-production environments
  • Document data flows, data dictionaries, and technical specifications to support data governance and knowledge sharing
  • Identify and recommend continuous improvement opportunities across data engineering processes and tooling
  • Collaborate with engineers and architects, and actively contribute to code reviews and engineering best practices
  • Leverage AI-assisted development tools like GitHub Copilot
Qualifications
  • Bachelor’s degree in computer science, Engineering, Information Systems, or a related technical or business discipline (or equivalent experience)
  • 5-6 years of experience in data engineering, data analytics, or a related technical role
  • Strong proficiency in SQL, including writing complex queries, data modeling, and working with relational and analytical databases
  • Familiarity with cloud-based data platforms and tools such as Snowflake, AWS or similar technologies
  • Strong analytical and problem-solving skills with the ability to interpret and communicate data-driven insights
  • Demonstrated ability to work in an agile, squad-based environment with cross-functional teams
  • Proactive, self-motivated, and a logical thinker with strong attention to detail
  • Excellent written and verbal communication skills, with the ability to clearly convey technical concepts to non-technical stakeholders
  • Experience with data integration and ETL/ELT tools such as IDMC
  • Familiarity with CI/CD pipelines, version control (Git), and software development best practices

Preferred:

  • Understanding of Cloud / Hybrid data architecture concepts
  • Exposure to data governance, data quality frameworks, or master data management concepts
  • Experience in the insurance or financial services industry is a plus
  • Guidewire experience a plus.
About Us

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices

  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco

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About Liberty Mutual

Sourced by ZipRecruiter

Since 1912, we've grown into the fifth largest global property and casualty insurer based on 2022 gross written premium. We also rank 86 on the Fortune 100 list of largest corporations in the US based on 2022 revenue. ​At Liberty Mutual Insurance we work hard every day to support our customers and our people, so they can protect their families, build their businesses and invest in their futures. We are headquartered in Boston, but our people, our customers and our reach span the globe. So to better serve our global customers and employees, we are organized into three business units.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

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