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Hourly Ai Data Annotation Jobs in Indiana (NOW HIRING)

Serve as the lead AI/ML technical expert supporting data-driven operations across planning ... hourly rate listed for this position is provided as a good-faith estimate of what the company ...

... AI computing with precision, speed, and minimal downtime. Our network of 1,000+ field engineers ... As a W-2 hourly employee, you will work under the direction of Introl project leadership and ...

About Ascendion Ascendion is an AI-native software engineering disruptor helping businesses ... The annual [salary/hourly rate] for this position is between [$170,000 - $190,000 annually]

HOURLY PRODUCTION - Metal Cell Operator

La Porte, IN · On-site

$15.50 - $18.75/hr

None * Export-Controlled Data This position entails access to export-controlled items and ... Must be able to read and interpret Product Criteria (PC) and Activity Instructions (AI). * Set up ...

HOURLY PRODUCTION - Monoshell Operator

La Porte, IN · On-site

$15.50 - $18.75/hr

None * Export-Controlled Data This position entails access to export-controlled items and ... Must be able to read and interpret Product Criteria (PC) and Activity Instructions (AI). * Must be ...

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Hourly Ai Data Annotation information

What is an Hourly AI Data Annotation job?

An Hourly AI Data Annotation job involves labeling, tagging, or categorizing data—such as images, text, or audio—to help train machine learning models. Annotators follow specific guidelines to ensure that the data is accurately labeled so that AI systems can learn to recognize patterns and make decisions. These jobs are typically paid by the hour and may require attention to detail, consistency, and sometimes familiarity with specialized annotation tools. This work is essential for improving the accuracy and usefulness of artificial intelligence applications.

What are some common challenges faced by hourly AI data annotators, and how can they be managed?

Hourly AI data annotators often encounter challenges such as repetitive tasks, maintaining high accuracy under time constraints, and adapting to evolving project guidelines. To manage these, it's important to take regular breaks to avoid fatigue, stay up to date with training materials, and communicate proactively with team leads if instructions are unclear. Many teams use collaborative tools and regular feedback sessions to support annotators and ensure consistent quality, making teamwork and attention to detail vital for success in this role.

What are the key skills and qualifications needed to thrive as an AI Data Annotator, and why are they important?

To thrive as an AI Data Annotator, you need strong attention to detail, accuracy, and a basic understanding of data labeling concepts, typically supported by a high school diploma or equivalent. Familiarity with annotation tools such as Labelbox or Supervisely, and basic computer proficiency, are often required. Critical thinking, consistency, and effective communication are valuable soft skills in this role. These skills ensure high-quality, reliable data that directly improves the performance of AI and machine learning models.

What is the difference between Hourly Ai Data Annotation vs Data Labeler?

AspectHourly Ai Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or in-office, flexible hoursRemote or in-office, flexible hours
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job FocusAnnotating data for AI training, often with specific instructionsLabeling data to help AI models learn, often similar tasks

Hourly Ai Data Annotation and Data Labeler roles are similar, focusing on preparing data for AI systems. The main difference lies in terminology; 'Hourly Ai Data Annotation' emphasizes the paid hourly aspect and the specific task of annotating data for AI training, while 'Data Labeler' is a broader term used interchangeably in the industry. Both roles require similar skills and are used in the same industry sectors.

What are the most commonly searched types of Ai Data Annotation jobs in Indiana? The most popular types of Ai Data Annotation jobs in Indiana are:
What are popular job titles related to Hourly Ai Data Annotation jobs in Indiana? For Hourly Ai Data Annotation jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Hourly Ai Data Annotation jobs? Cities in Indiana with the most Hourly Ai Data Annotation job openings:
AI Modeling Specialist (Senior)

AI Modeling Specialist (Senior)

Pae

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

*This position is contingent upon contract award*

Amentum is seeking an AI Modeling Specialist (Senior) to support Combatant Command Operations in the Information Environment (OIE) under the Apollo program. The selected candidate will design, develop, and deploy advanced artificial intelligence and machine learning models that enable integrated planning, data exploitation, operational analysis, and decision support. This role directly supports automation, scalability, and data-driven decision superiority across global operations.

As an AI Modeling Specialist (Senior) you will have the opportunity to:

  • Serve as the lead AI/ML technical expert supporting data-driven operations across planning, execution, and assessment activities for Combatant Commands (CCMDs).
  • Design, develop, and deploy machine learning, artificial intelligence, and advanced statistical models to support operational analysis, campaign assessment, and decision support.
  • Develop and operationalize AI-enabled capabilities that automate data ingestion, processing, and analysis across structured and unstructured data sources.
  • Build and maintain scalable model pipelines and architectures supporting cross-domain and enterprise-level data integration.
  • Apply AI/ML techniques (e.g., predictive modeling, clustering, natural language processing, network analysis) to identify patterns, trends, narratives, and adversary behaviors in the information environment.
  • Integrate AI/ML outputs into operational workflows, enabling support to planning, integration, data operations, assessment, and operational execution.
  • Collaborate with planners, Assessment Integrators, Data Scientists, and operational staff to translate analytic outputs into actionable insights for decision-makers.
  • Develop and support AI-enabled dashboards, decision-support tools, and analytic platforms that provide real-time or near-real-time insights.
  • Support the development of reusable models and frameworks that can scale across multiple CCMDs and mission sets.
  • Ensure models are transparent, explainable, and aligned to mission requirements, including measurement of effectiveness and operational impact (ROI-informed outputs).

Required Qualifications:

  • Must have an active Top-Secret security clearance and be SCI eligible. Note: US Citizenship is required to obtain a Top-Secret Clearance.
  • Bachelor's degree in data science, computer science, artificial intelligence, machine learning, mathematics, or related technical field with 8+ years of experience (advanced degree equivalency applies)
  • Demonstrated experience developing and deploying AI/ML models in operational or mission-focused environments
  • Strong proficiency in Python (or similar), including AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)
  • Experience applying advanced analytics, machine learning, and statistical modeling techniques to large and complex datasets
  • Experience developing and managing data pipelines, model pipelines, and cloud-based architectures (AWS, Azure, or equivalent)
  • Experience integrating multi-source data (structured, semi-structured, unstructured) into analytic models
  • Experience applying AI/ML to information environment, intelligence, cyber, or national security problem sets
  • Demonstrated ability to translate complex AI/ML outputs into clear, actionable insights for operational decision-makers
  • Experience supporting data-driven decision support, operational analysis, or mission-focused analytics environments

Preferred Qualifications:

  • Advanced degree (MS or PhD) in AI, machine learning, data science, or related field
  • Experience developing AI-enabled automation frameworks or platforms supporting mission workflows
  • Experience applying natural language processing (NLP), social media analytics, or narrative analysis in OIE contexts
  • Experience implementing data standardization, ontology, or schema alignment frameworks for enterprise analytics
  • Experience supporting cross-CCMD or distributed data environments at scale
  • Experience integrating AI/ML solutions into operational systems (e.g., C2IE, Maven or similar platforms)
  • Experience supporting campaign assessment, MOP/MOE enablement, or ROI analysis through advanced analytics
  • Experience working in joint, interagency, or coalition operational environments
  • Demonstrated ability to develop reusable, scalable AI/ML solutions across multiple mission areas

Compensation Details:

$120,000 - 170,000

The compensation range or hourly rate listed for this position is provided as a good-faith estimate of what the company intends to offer for this role at the time this posting was issued. Actual compensation may vary based on factors such as job responsibilities, education, experience, skills, internal equity, market data, applicable collective bargaining agreements, and relevant laws.

Benefits Overview:

Our health and welfare benefits are designed to support you and your priorities. Offerings include:

  • Health, dental, and vision insurance

  • Paid time off and holidays

  • Retirement benefits (including 401(k) matching)

  • Educational reimbursement

  • Parental leave

  • Employee stock purchase plan

  • Tax-saving options

  • Disability and life insurance

  • Pet insurance

Note: Benefits may vary based on employment type, location, and applicable agreements. Positions governed by a Collective Bargaining Agreement (CBA), the McNamara-O'Hara Service Contract Act (SCA), or other employment contracts may include different provisions/benefits.

Original Posting:

06/26/2026 - Until Filled

Amentum anticipates this job requisition will remain open for at least three days, with a closing date no earlier than three days after the original posting. This timeline may change based on business needs.

Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal laws and supplemental language atLabor Laws Posters.