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Full Time Machine Learning Data Annotation Jobs in Indiana

Senior Data Scientist We are seeking a highly motivated and experienced Senior Data Scientist to ... Apply advanced modeling techniques, including machine learning, deep learning, statistical methods ...

Description Launch your machine learning career in Greenfield, IN as a Machine Technical Associate ... Direct Hire * Long Term * Full Time * 2nd Shift * 3rd Shift Job Responsibilities * Knowledge of CNC ...

As the platform matures and core data products stabilize, the role will progressively expand to enable machine learning capabilities through feature readiness, curated datasets, and foundational ...

Data Analyst is responsible for collecting, processing, and analyzing data to help make data-driven ... Experience in machine learning, predictive modeling, or statistical analysis. Knowledge of database ...

Design, develop, and implement AI and machine learning models to solve business and operational challenges. * Build, train, test, and deploy models using structured and unstructured data sources.

Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee ... Applied Artificial Intelligence/Machine Learning (AI/ML) for image processing. * Experience with ...

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Full Time Machine Learning Data Annotation information

What are the key skills and qualifications needed to thrive as a Full Time Machine Learning Data Annotation Specialist, and why are they important?

To thrive as a Full Time Machine Learning Data Annotation Specialist, you need strong attention to detail, basic data literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency in specialized annotation platforms, spreadsheet tools, and sometimes knowledge of Python or labeling frameworks is typically required. Reliability, patience, and effective communication are valuable soft skills for ensuring accuracy and collaborating with team members. These skills and qualities are crucial because they directly impact the quality of training data, which is essential for developing effective machine learning models.

What are Full Time Machine Learning Data Annotation jobs?

Full time machine learning data annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Data annotators play a crucial role in ensuring that AI systems learn from high-quality, accurately labeled datasets. These positions often require attention to detail, consistency, and sometimes familiarity with the subject matter or specialized tools. Full-time roles may be remote or onsite and can span industries like autonomous vehicles, healthcare, retail, and more.

What are some common challenges faced by machine learning data annotators, and how are these typically addressed within a team?

Machine learning data annotators often encounter challenges such as maintaining consistency in labeling, handling ambiguous data, and meeting tight deadlines for large datasets. Teams usually address these by establishing clear annotation guidelines, conducting regular training sessions, and implementing quality assurance processes like peer reviews and spot checks. Collaboration with data scientists and project managers is also common, ensuring that annotators can ask questions and clarify uncertainties, leading to higher-quality labeled data and a supportive work environment.

What is the difference between Full Time Machine Learning Data Annotation vs Data Labeling Specialist?

AspectFull Time Machine Learning Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; some roles prefer technical certificationsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentOffice or remote; collaborative with data science teamsRemote or office; focused on labeling tasks
Industry UsageUsed across AI/ML companies, tech firms, and startupsCommon in AI/ML, data services, and outsourcing companies
Job FocusCreating labeled datasets for machine learning modelsAnnotating data such as images, videos, or text for AI training

Full Time Machine Learning Data Annotation involves creating high-quality labeled datasets for AI models, often requiring technical understanding. Data Labeling Specialists focus on annotating data accurately, typically with less emphasis on technical skills. Both roles are essential in AI development but differ mainly in scope and technical complexity.

What are popular job titles related to Full Time Machine Learning Data Annotation jobs in Indiana? For Full Time Machine Learning Data Annotation jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Full Time Machine Learning Data Annotation jobs in Indiana look for? The top searched job categories for Full Time Machine Learning Data Annotation jobs in Indiana are:
What cities in Indiana are hiring for Full Time Machine Learning Data Annotation jobs? Cities in Indiana with the most Full Time Machine Learning Data Annotation job openings:
Senior Data Scientist

Senior Data Scientist

Elanco

Indianapolis, IN • On-site

Full-time

Retirement, PTO

Posted 21 days ago


Elanco rating

7.8

Company rating: 7.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

42nd of 73 rated pharmaceutical


Job description

At Elanco (NYSE: ELAN) - it all starts with animals!

As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose - all to Go Beyond for Animals, Customers, Society and Our People.

At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you'll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights.

Making animals' lives better makes life better - join our team today!

Your Role: Senior Data Scientist

We are seeking a highly motivated and experienced Senior Data Scientist to join our Enterprise Analytics and Governance organization. This role is critical in transforming complex data into strategic insights and scalable solutions that drive business value. The ideal candidate will combine strong expertise in advanced analytics, operations research, and AI/ML with the ability to translate ambiguous business challenges into impactful, production-ready solutions.

Your Responsibilities:

  • Lead end-to-end data science initiatives - from problem definition and data exploration to deployment of scalable, production-grade solutions.
  • Apply advanced modeling techniques, including machine learning, deep learning, statistical methods and operations research (e.g., optimization, simulation), to solve complex business problems.
  • Partner with cross-functional business stakeholders to translate strategic objectives into actionable analytical solutions.
  • Design and develop robust data pipelines and models leveraging platforms such as Databricks, Azure Synapse, and SAP.
  • Build and maintain interactive dashboards and data products using Databricks dashboard, Power BI or Tableau to enable real-time decision-making.
  • Implement best practices in software engineering, including modular code design, testing, version control, and CI/CD pipelines.
  • Ensure model transparency, explainability and interpretability using Explainable AI (XAI) approaches.
  • Monitor, evaluate, and optimize model performance in production environments, including establishing observability and feedback loops.
  • Communicate complex analytical insights clearly to both technical and non-technical stakeholders.
  • Provide technical leadership and mentorship to junior team members.

What You Need to Succeed (Minimum Qualifications):

  • Education/Required Experience: PhD in Statistics, Data Science, Computer Science, Operations Research or a related STEM field with 2+ year of experience, OR Master's degree with 5+ years of relevant experience.
  • Strong expertise in machine learning, deep learning, statistics and/or optimization.
  • Advanced proficiency in Python (and /or R), SQL, with experience building and maintaining data pipelines in Databricks or similar environments.
  • Solid foundation in software engineering best practices, including Git, unit and integration testing, CI/CD and model deployment capabilities.
  • Proficiency in data visualization tools such as Power BI, Tableau or Databricks Dashboard.
  • Proven ability to deploy and manage high-performance models in production environments using machine learning ops tools and technologies.

What Will Give You the Competitive Edge (Preferred Qualifications):

  • Experience building end-to-end observability frameworks, including model monitoring, drift detection, and business performance tracking.
  • Familiarity with Natural Language Processing, Generative AI techniques (e.g., LLMs, RAG architectures, AI Agents).
  • Experience working with large-scale enterprise data platforms and cloud ecosystems (Azure, AWS, GCP).
  • Demonstrated ability to operate effectively in ambiguous, fast-paced environments.

Additional Information:

  • Location: Indianapolis, IN Global HQ (Hybrid Environment)
  • Travel: Minimal

Don't meet every single requirement? Studies have shown underrecognized groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles!

Elanco Benefits and Perks:

We offer a comprehensive benefits package focusing on financial, physical, and mental well-being while encouraging our employees to pursue our purpose! Some highlights include:

  • Multiple relocation packages
  • Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO)
  • 8-week parental leave
  • 9 Employee Resource Groups
  • Annual bonus offering
  • Flexible work arrangements
  • Up to 6% 401K matching

Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status

Elanco may use automated tools, including AI, to support parts of our recruitment process, such as reviewing applications against jobrelated criteria and/or transferrable skills. These tools help ensure a consistent, structured evaluation, but they do not make hiring decisions. All decisions involve a human reviewer. For more information on how we handle personal data, please see our Elanco Workforce Privacy Notice.


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