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Ml Data Associate Jobs in Alabama (NOW HIRING)

IGNITE

ASSOCIATES LOADS DYNAMICS ENGINEER

Huntsville, AL · On-site

... AI/ML, space and missile defense intelligence, EMSO, advanced analytics, and programmatic domains ... Ignite is currently seeking a driven, detail-oriented Associate Loads and Dynamics Engineer to join ...

Cloudera

$150K - $185K/yr

Mentor associates, participate in creation and maintenance of enablement materials across the team ... Data Science and ML experience - (R, Python, Deep Learning Frameworks etc.) * Integration Products ...

World Wide Technology

The Digital & AI Platforms organization at World Wide Technology is hiring an Associate Client ... Experience leading digital transformation programs such as AI/ML and GenAI, data platforms and ...

World Wide Technology

The Digital & AI Platforms organization at World Wide Technology is hiring an Associate Client ... Experience leading digital transformation programs such as AI/ML and GenAI, data platforms and ...

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Ml Data Associate information

See Alabama salary details

$52.1K

$61.7K

$116.9K

How much do ml data associate jobs pay per year?

As of Aug 10, 2026, the average yearly pay for ml data associate in Alabama is $61,670.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $53,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an ml data associate?

To thrive as an ML Data Associate, you need strong analytical skills, attention to detail, and a solid understanding of data annotation or labeling, often supported by a degree in a technical field. Familiarity with data labeling tools, basic programming (such as Python), and experience working with machine learning platforms are typically required. Excellent communication, problem-solving abilities, and the capacity to work efficiently in teams are important soft skills. These skills ensure high-quality, accurately labeled datasets that are essential for training effective machine learning models.

What is an ml data associate?

ML Data Associates are professionals who support machine learning projects by preparing, labeling, and validating data used to train and evaluate algorithms. They often work with large datasets, ensuring data quality and accuracy, and may use specialized tools to annotate images, text, or audio. Their work is essential for enabling machine learning models to learn from high-quality, well-structured data, and they often collaborate with data scientists and engineers to optimize data pipelines.

What is the difference between Ml Data Associate vs Data Analyst?

AspectML Data AssociateData Analyst
Required CredentialsTypically a degree in computer science, data science, or related field; familiarity with machine learning conceptsUsually a degree in statistics, mathematics, or business analytics; strong Excel and data visualization skills
Work EnvironmentTech companies, AI startups, or organizations focusing on machine learning projectsBusiness, finance, marketing, and consulting firms analyzing data for insights
Employer & Industry UsageUsed in industries developing AI models, machine learning pipelines, and data infrastructureCommon across industries for reporting, trend analysis, and strategic decision-making

While both roles involve working with data, ML Data Associates focus on preparing and managing data specifically for machine learning models, whereas Data Analysts interpret data to generate business insights. The roles overlap in data handling skills but differ in their end goals and technical focus.

What are some common challenges faced by ml data associates when labeling complex datasets, and how can they be effectively addressed?

ML Data Associates often encounter challenges with ambiguous data, inconsistent labeling guidelines, or rapidly evolving project requirements. To address these, it's important to maintain open communication with data scientists and project leads, ask clarifying questions, and participate in regular calibration sessions to ensure consistency. Utilizing annotation tools efficiently and staying up-to-date with best practices can also help manage complexity and improve label quality. Collaboration and feedback within the team are key to overcoming these challenges and ensuring high-quality datasets.
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Ml Data Associate jobs near you
Infographic showing various Ml Data Associate job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $61,670 per year, or $29.6 per hour.

AI Governance Specialist with Security Clearance

IPT Associates (IPTA)

Huntsville, AL • On-site

Other

Re-posted yesterday

Job description

AI Governance Specialist Redstone Arsenal/Huntsville, AL   At IPT Associates (IPTA), we enjoy solving real-world problems with technology. We work closely with our customers, teammates, experts, and partners to come up with practical solutions that actually make a difference. Whether it's a government or business organization, we focus on understanding the need and building something that works. Our Team At IPTA, everything starts with our people. We're big believers that when you invest in your team, great things happen. That's why we encourage learning, growth, and trying new things-even if you don't have all the answers yet. Our culture is rooted in fierce determination, fearless integrity, and passionate service-but we also like to keep things collaborative, supportive, and down-to-earth. We're looking for people who: * Are curious and excited about technology * Like solving problems and figuring things out * Can take initiative but also enjoy working with a team * Want to keep learning, growing, and challenging themselves If you're someone who's eager to jump in, learn something new, and make an impact-you'll fit right in here. We are seeking an AI Governance Specialist to support the development and implementation of AI governance frameworks for DoD enterprise systems. This role requires expertise in AI policy development, application governance, and security oversight, with a focus on ensuring responsible AI deployment in mission-critical environments. The ideal candidate will combine policy acumen with technical understanding to bridge governance requirements with practical implementation. Responsibilities: * Support development and implementation of AI governance policies and procedures * Establish and maintain AI application governance requirements and standards * Collaborate with engineering and cybersecurity teams to implement AI guardrails and controls * Develop middleware solutions to enforce AI governance policies and safety controls * Conduct AI application assessments and compliance reviews * Monitor AI systems for adherence to governance frameworks and security standards * Document AI use cases, risk assessments, and governance decisions * Support AI vendor evaluation and third-party AI tool governance * Maintain awareness of evolving AI regulations, standards, and best practices * Contribute to AI risk management and incident response procedures * Develop training materials and guidance on AI governance requirements * Participate in cross-functional teams to integrate governance into AI development lifecycle Requirements: * Bachelor's degree in Computer Science, Information Technology, Public Policy, or related field * 10 years of experience in AI/ML governance, technology policy, or related field * Strong understanding of AI technologies, capabilities, and limitations * Experience with policy development and implementation * Software development or scripting experience (Python, JavaScript, or similar) * Knowledge of AI security principles and threat landscape * Ability to translate technical concepts for non-technical stakeholders * Active Security Clearance Required * DoD 8570 Level II/III certification Required Desired Qualifications * Experience with NIST AI Risk Management Framework (AI RMF) * Familiarity with DoD AI governance requirements and policies * Experience conducting technical audits or assessments * Understanding of AI model architectures and development processes * Experience with AI/ML frameworks and tools (TensorFlow, PyTorch, LangChain, etc.) * Knowledge of responsible AI principles and ethics frameworks * Experience with cloud AI services (AWS, Azure, GCP) * Background in cybersecurity or risk management * Experience developing governance automation tools or middleware * Familiarity with data governance and privacy regulations Technical Skills * AI governance frameworks (NIST AI RMF, responsible AI principles) * Software development (Python, scripting, API integration) * AI security and safety controls * Policy development and compliance management * AI application assessment and risk evaluation * Documentation and technical writing * Collaboration tools and project management IPTA is an Equal Opportunity Employer. All employment decisions are based on individual merit, including qualifications, experience, performance, and business needs, consistent with applicable federal laws and federal contracting requirements. IPTA provides equal opportunity and utilizes merit-based principles to make employment-related decisions. #clearance

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