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Senior Data Annotation Analyst Jobs in Indiana (NOW HIRING)

Accelint

Senior Data Analyst

Bloomington, IN · On-site

$99K - $124K/yr

Senior Data Analyst * Full Time * Hybrid The Sr. Data Analyst serves as a recognized subject matter expert and advanced individual contributor, leading complex data analytics and statistical modeling ...

OrganOx

Senior Data Quality Analyst

Indianapolis, IN · On-site +1

Position Summary The Senior Data Analyst is responsible to deliver insightful metrics, reports, and dashboards to support our business. The role requires collaboration with other analysts, data ...

NAVA Software Solutions

Sr Data Architect

Indianapolis, IN · On-site

$64.25 - $86/hr

Must be highly analytical and have the proven ability to develop and reverse complex engineering ... Senior Data Architect | Day-to-Day * Assessing current and future states to provide a road map for ...

TSMG

AI/ML Data Contributor

Indianapolis, IN

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

AI/ML Data Contributor

Indianapolis, IN · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

AI/ML Data Contributor

Indianapolis, IN · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

AI/ML Data Contributor

Indianapolis, IN · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

AI/ML Data Contributor

Indianapolis, IN · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

Engage with business and technical stakeholders to gather, analyze, document, define, and standardize business/data requirements (2%). * Perform or lead Gap Analysis between as-is and to-be systems ...

TSMG

AI/ML Data Contributor

Indianapolis, IN · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Elanco

Senior Data Scientist

Indianapolis, IN · On-site

Senior Data Scientist We are seeking a highly motivated and experienced Senior Data Scientist to ... The ideal candidate will combine strong expertise in advanced analytics, operations research, and ...

Elevance Health

Senior Data Engineer

Indianapolis, IN · On-site

$101K - $137K/yr

Senior Data Engineer Senior Data Engineer Hybrid 1: This role requires associates to be in-office ... Perform capacity analysis; recommend and implement capacity increases for data platform performance ...

DHL

Sr Business Data Analyst

Whiteland, IN · On-site

$70K - $115K/yr

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles within California the range is $70,304 - $115,000 and Washington is $80,169 - $115,000. DHL Supply Chain ...

DPDHL

Sr Business Data Analyst

Whiteland, IN · On-site

$70K - $115K/yr

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles within California the range is $70,304 - $115,000 and Washington is $80,169 - $115,000. DHL Supply Chain ...

Elevance Health

Senior Data Engineer

Indianapolis, IN · Hybrid

$101K - $137K/yr

Senior Data Engineer Senior Data Engineer Hybrid 1: This role requires associates to be in-office1 ... Perform capacity analysis; recommend and implement capacity increases for data platform performance ...

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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 Annotation Analyst jobs near you

Senior Data Analyst

Accelint

Bloomington, IN • On-site

$99K - $124K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Lyntris is a defense technology company that connects sensing to action across the connected battlespace. Lyntris brings together the talents of Accelint and Vitesse teams under one mission, with each contributing deep expertise within their domain. Combining differentiated hardware, software and mission expertise, Lyntris helps customers sense threats, make sense of complex conditions and act with greater speed, precision and confidence in contested environments.
Lyntris supports U.S. and allied defense organizations across every branch - including Navy, Army, Air Force, Space Force and allied partners - spanning strategic, operational and tactical missions and every domain: Space, Air, Land, Sea and Cyber. With more than 200 active defense programs, Lyntris works at every level of the mission, from national command authority to the tactical edge.
Solutions are designed by operators who understand the mission, engineered for the conditions that degrade or defeat standard systems, and built on an open, modular architecture that integrates into existing programs without requiring them to start over. Lyntris moves faster than the traditional defense cycle - with integrated design, build and test capabilities in-house - and delivers systems that sustain and endure long after initial fielding.
Job Description
  • Senior Data Analyst
  • Full Time
  • Hybrid

The Sr. Data Analyst serves as a recognized subject matter expert and advanced individual contributor, leading complex data analytics and statistical modeling efforts to develop readiness based spares to drive strategic and operational decision-making across the organization. This role translates high-level business challenges into advanced analytical frameworks, develops predictive and diagnostic models, and delivers compelling data narratives to executive stakeholders. The position requires a highly specialized skill set, extensive experience, and full autonomy in executing highly complex assignments, with significant latitude for independent judgment.
This role works closely with subject matter experts in data engineering, system engineering, technical leadership and analytical expertise. This position is responsible for developing and executing complex readiness, sustainment, and logistics modeling efforts in direct support of Navy and Department of War (DoW) programs. Integrates multidisciplinary engineering methodologies to ensure that model development, data management, and analytical outputs align with program objectives, technical standards, and customer requirements. The ideal candidate has 5+ years of experience assessing data and Opus Suite.
Duties & Responsibilities
Model development
  • Lead advanced data analytics, statistical modeling, and predictive analysis initiatives to support readiness based sparing models to support decision-making and strategic planning.
  • Partner with senior stakeholders to define analytical objectives, shape problem statements, and translate business challenges into actionable, data-driven strategies.
  • Enforce, maintain and contribute process improvements to documented enterprise data definitions, business rules, governance frameworks, and data quality standards.
  • Provide technical leadership and mentorship to junior analysts, supporting skill development and analytical best practices.
  • Serve as a trusted advisor and subject matter expert on data analytics methodologies, tools, and advanced analytical techniques.
  • Contribute technical expertise in data needed and structure to develop and model the simulation to identify the most effective option on the readiness cost curve.
  • Participate in planning sessions to acquire detailed information develop data pipeline architecture that align with project requirements.
  • Extract supporting data from identified tools, review available supportability reports and engineering details to assess quality of data prior to developing a readiness at cost model.

Technical Documentation
  • Document data gathering processes, pipeline configurations, and data flows to ensure consistency and future support.
  • Identify, define, and lead continuous improvement initiatives for analytics processes, data workflows, and system performance.
  • Ensure accuracy and completeness of all documentation.

Collaboration and Communication
  • Foster effective collaboration with cross-functional teams to achieve project objectives.
  • Communicate complex technical information clearly and effectively.

Tool and Methodology Application
  • Utilize identified software and follow business rules and processes.
  • Identify areas to improve efficiency and accuracy and integrate those into modeling best practices

Required Qualifications
  • Bachelor's or Master's degree in Engineering, Computer Science, Data Analytics, or a related technical field.
  • Minimum of 5+ years of experience in systems engineering, logistics analysis, or modeling and simulation
  • Advanced experience in data engineering practices and readiness modeling methodologies within the DoD or equivalent complex enterprise environment.
  • Expert in the application of reliability, maintainability, and availability (RMA) principles and lifecycle sustainment analysis.
  • Lead multidisciplinary teams and coordinating across multiple stakeholders to deliver integrated technical solutions.
  • Strong communication, leadership, and analytical problem-solving skills.

Preferred Qualifications (Not Required)
  • Expert with Opus Suite (OPUS10, SIMLOX, CONNECT) or equivalent readiness-based sparing platforms.
  • Experience exporting and analyzing data from Navy authoritative systems
  • Familiar with development of supportability analysis
  • Familiar with a developing a readiness based spares package
  • Understanding of the aerospace and defense industry.
  • Knowledge of DoW policies and requirements

Clearance Requirements
Some positions will require access to U.S. National Security information. Positions that require this access will be required to receive and maintain a U.S. government personnel security clearance (PCL). In order to qualify for this position, the candidate must be a US Citizen and either currently possess this National Security eligibility or be able to complete the investigation application process with a favorable determination and maintain that eligibility throughout their employment.
Pay Scales & Benefits
The listed pay scale reflects the broad, minimum to maximum, pay scale for this position for the location for which it has been posted and is not a guarantee of compensation or salary. Other compensation considerations may include, but are not limited to, job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, or other applicable factors.
Benefits include...
Paid Time Off
Paid Company Holidays
Medical, Dental & Vision Insurance
Optional HSA and FSA
Base and Voluntary Life Insurance
Short Term & Long-Term Disability Insurance
401k Matching
Employee Assistance Program
The pay range for this role is:
99,433 - 124,644 USD per year (Bloomington, IN)

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