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Machine Learning Data Associate Jobs in Colorado

True Anomaly

Senior Machine Learning Engineer

Denver, CO · On-site

$107.50K - $147.70K/yr

Required : • Bachelor's degree in computer science, machine learning, data science, electrical engineering, or a similar discipline • Proficient in Python • Solid understanding of statistics ...

Cymertek

Machine Learning Engineer

Aurora, CO · On-site

Machine Learning Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this ... You will collaborate with data scientists, engineers, and product teams to turn data into ...

Cymertek

Machine Learning Engineer

Aurora, CO

Machine Learning Engineer LOCATIONAurora, CO 80014 CLEARANCETS/SCI Full Poly (Please note this ... You will collaborate with data scientists, engineers, and product teams to turn data into ...

Judi Health

Machine Learning Engineer

Denver, CO · Remote

We are looking for a software engineer with machine learning expertise to join us in expanding our ... Develop tools for large-scale data processing and ETL and contribute to extracting insights from ...

True Anomaly

Senior Machine Learning Engineer

Denver, CO · On-site

$155K - $260K/yr

... machine learning and AI capabilities for True Anomaly. You will work with a talented cross ... Own the full ML development lifecycle - from data ingestion and feature engineering through model ...

True Anomaly

Machine Learning Engineer

Denver, CO · On-site

$85K - $180K/yr

... and development of machine learning and AI capabilities for True Anomaly. Working alongside ... Support data ingestion, preprocessing, and feature engineering pipelines * Run experiments, track ...

Quizlet

Machine Learning Engineer

Denver, CO · On-site

$205K - $316.40K/yr

We are looking for Machine Learning Engineers ranging from the Senior to Staff levels (note ... Partner with Product, Engineering, and Data teams to define problems and deliver solutions

GRVTY

Data Scientist 3

Colorado Springs, CO

$155K - $185K/yr

... Associate's degree with 12 years of relevant experience * Bachelor's degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations ...

GRVTY

Data Scientist 3

Colorado Springs, CO · On-site

$155K - $185K/yr

... Associate's degree with 12 years of relevant experience * Bachelor's degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations ...

Ibotta

$228K - $253K/yr

Ibotta is seeking a Principal Machine Learning Engineer to join our Core Data & Analytics team and contribute to our mission to Make Every Purchase Rewarding. We're looking for someone who has a ...

Ibotta

$206K - $230K/yr

Ibotta is seeking a Staff Machine Learning Engineer to join our Core Data & Analytics team and contribute to our mission to Make Every Purchase Rewarding. We're looking for someone who has a passion ...

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$10

$19

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How much do machine learning data associate jobs pay per hour?

As of May 30, 2026, the average hourly pay for machine learning data associate in Colorado is $19.70, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $20.96 per hour, depending on experience, location, and employer.

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

To thrive as a Machine Learning Data Associate, you need strong analytical skills, attention to detail, and a basic understanding of data annotation and labeling processes, often supported by a degree in computer science or a related field. Familiarity with data management tools, annotation platforms, and sometimes scripting languages like Python is typically required. Strong communication, collaboration, and problem-solving abilities help you work efficiently with data science teams and ensure high-quality outcomes. These skills and qualities are crucial for producing accurate datasets that directly impact the effectiveness of machine learning models.

How does a Machine Learning Data Associate typically collaborate with data scientists and engineers within a project team?

As a Machine Learning Data Associate, you play a vital role in supporting data scientists and engineers by annotating, cleaning, and organizing large datasets to ensure high data quality. You'll frequently communicate with team members to clarify labeling guidelines, provide feedback on data inconsistencies, and report any edge cases encountered during annotation. This collaboration ensures that the datasets used for training machine learning models are accurate and comprehensive, directly impacting the success of the project. Expect regular team meetings and ongoing feedback loops to maintain alignment with evolving project requirements.

What are Machine Learning Data Associates?

Machine Learning Data Associates are professionals who support the development of machine learning models by preparing, labeling, and validating data sets. Their work ensures that data used for training algorithms is accurate, consistent, and properly annotated. They may also assist with data cleaning, quality checks, and sometimes basic data analysis tasks. This role is crucial in industries where high-quality labeled data is essential for building effective AI systems.

What is the difference between Machine Learning Data Associate vs Data Analyst?

AspectMachine Learning Data AssociateData Analyst
Required SkillsData cleaning, labeling, basic programming, understanding of ML workflowsData interpretation, visualization, statistical analysis
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing, healthcare sectors
Common CertificationsData Science certifications, Python, SQLExcel, Tableau, SQL certifications

The main difference is that Machine Learning Data Associates focus on preparing and labeling data specifically for machine learning models, while Data Analysts interpret data to generate insights for business decisions. Both roles require strong data skills and often overlap, but their primary objectives and work environments differ.

What cities in Colorado are hiring for Machine Learning Data Associate jobs? Cities in Colorado with the most Machine Learning Data Associate job openings:
Machine Learning Data Associate jobs near you
Infographic showing various Machine Learning Data Associate job openings in Colorado as of May 2026, with employment types broken down into 76% Full Time, 23% Part Time, and 1% Contract. Highlights an 96% Physical, 3% Hybrid, and 1% Remote job distribution, with an average salary of $40,982 per year, or $19.7 per hour.

Senior Machine Learning Engineer

True Anomaly

Denver, CO • On-site

$107.50K - $147.70K/yr

Full-time

Posted 14 days ago

Job description

Job Summary:
True Anomaly is a company focused on delivering capabilities for space superiority through advanced technology. They are seeking a Senior Machine Learning Engineer to design, build, and deploy core machine learning and AI capabilities, working with a cross-functional team to enhance technology in the field of artificial intelligence and data-driven decision-making.
Responsibilities:
• Design, implement, and test ML/AI models that support threat assessment, object discrimination, and decision-making in operationally relevant environments
• Own the full ML development lifecycle — from data ingestion and feature engineering through model training, evaluation, and production deployment
• Collaborate with cross-functional teams to translate operational requirements into robust, production-ready ML capabilities
• Establish and maintain rigorous model evaluation practices to ensure reliability and performance in real-world conditions
• Write clean, well-documented, and testable code in support of AI/ML capabilities
Qualifications:
Required:
• Bachelor's degree in computer science, machine learning, data science, electrical engineering, or a similar discipline
• Proficient in Python
• Solid understanding of statistics, probability, and optimization
• Experience with ML frameworks such as PyTorch, TensorFlow, or JAX
• 4+ years of experience designing, training, and deploying ML models in real-world systems
• Demonstrated ability to work in a multidisciplinary team and solve complex problems from first principles
• Passion for spaceflight and advancing capabilities related to space domain awareness and space security
• Work Location— this is a fully onsite role. Candidates must be based in or able to commute to our Denver or Long Beach office daily.
• To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
Preferred:
• Master's or PhD in machine learning, computer science, data science, or a related discipline
• Strong background in one of the following core ML disciplines: Anomaly & outlier detection: statistical, density-based, and deep learning approaches
• Strong background in one of the following core ML disciplines: Object discrimination: multi-class and fine-grained classification, metric learning, few-shot learning, evidential reasoning and Dempster-Shafer Theory (DST) for belief combination and conflict resolution under uncertain or incomplete sensor data
• Strong background in one of the following core ML disciplines: Unsupervised learning: clustering, dimensionality reduction, generative modeling
• Strong background in one of the following core ML disciplines: Sequential and temporal modeling: time-series analysis and sequential modeling
• Experience deploying models to edge or resource-constrained environments with real-time processing requirements
• Familiarity with space domain data such as space object catalog data, observational data, or RSO characterization
• Experience with MLOps tooling: experiment tracking (MLflow, W&B), model versioning, CI/CD for ML pipelines
• Background in model interpretability, uncertainty quantification, or safety-critical ML validation
Company:
True Anomaly develops space security technologies, including spacecraft, software platforms, and mission systems for orbital operations. Founded in 2022, the company is headquartered in Centennial, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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