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Full Time Machine Learning Data Annotation Jobs in Indiana

eTeam

AI/ML engineer

Indianapolis, IN · On-site

$100K - $120K/yr

... machine learning and deep learning models for production use cases including NLP| computer vision| and predictive analytics • Define scalable AI/ML system architecture; oversee data pipelines ...

Deckers

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 ...

STI

Data Analyst

Indianapolis, IN · On-site

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 ...

Diverse Lynx

Databricks Data Scientist

Indianapolis, IN · On-site

Responsibilities : • Design, develop, and deploy machine learning models using Databricks (MLflow ... Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a ...

Onebridge

AI Developer

Indianapolis, IN · On-site

Required : • 7+ years of experience in IT, software engineering, data engineering, or a similar technical role. • 3+ years of focused experience designing and developing AI and machine learning ...

Onebridge

AI Developer

Indianapolis, IN · On-site

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.

Onebridge

AI Developer

Indianapolis, IN · On-site

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.

Onebridge

AI Developer

Indianapolis, IN · On-site

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.

Performacentric

ML Engineer

Indianapolis, IN · On-site +1

Machine Learning Engineer (Llama AI Platform) Location: Remote (Preferred U.S. Time Zones ... Data & Infrastructure * Build and maintain vector database integrations. * Develop data ingestion ...

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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:
Full Time Machine Learning Data Annotation jobs near you
AI/ML engineer

AI/ML engineer

eTeam

Indianapolis, IN • On-site

$100K - $120K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
eTeam is a company focused on AI and machine learning solutions, and they are seeking an AI/ML Engineer to lead technical initiatives. The role involves designing and optimizing machine learning models, defining system architecture, and collaborating with various stakeholders to deliver scalable AI systems.
Responsibilities:
• Set engineering standards| conduct code reviews| and mentor a team of AI/ML engineers across the full development lifecycle
• Design| build| and optimize machine learning and deep learning models for production use cases including NLP| computer vision| and predictive analytics
• Define scalable AI/ML system architecture; oversee data pipelines| model training| and deployment infrastructure on cloud platforms (Azure| AWS| GCP)
• Establish and maintain CI/CD pipelines| model versioning| monitoring| and retraining workflows to ensure reliability in production
• Partner with product managers| data scientists| and business teams to translate requirements into technical solutions with measurable outcomes
• Define model evaluation frameworks; ensure solutions meet performance| fairness| safety| and compliance standards
• Stay current on emerging AI trends and frameworks; identify opportunities to adopt new tools and techniques that advance team capabilities
Qualifications:
Required:
• Strong proficiency in Python and ML frameworks (PyTorch| TensorFlow| scikit-learn)
• Experience with LLMs| prompt engineering| and generative AI platforms
• Hands-on knowledge of cloud-based AI/ML services (Azure ML| AWS SageMaker| Vertex AI)
• Familiarity with vector databases| RAG pipelines| and API development
• Prior experience leading engineering teams in an Agile/Scrum environment
Company:
eTeam is a staffing agency that also provides payrolling services. Founded in 1999, the company is headquartered in Somerset, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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