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Machine Learning Data Associate Jobs (NOW HIRING)

Jobgether

$11.50 - $15.50/hr

Machine Learning Data Associate based in Netherlands. This is an opportunity to lead engaging, high-impact virtual learning experiences for diverse audiences developing skills in machine learning and ...

PROPRIUS

Machine Learning / Data Scientist

Bodega Bay, CA · On-site

$110K - $140K/yr

Job Summary Our client is looking for a machine learning engineer to join our existing ML team in developing and refining a predictive application. The ideal candidate is adept at using large data ...

Apple

Machine Learning - Data Scientist

Sunnyvale, CA · On-site

The Video Engineering Data Analytics and Quality group is seeking an expert in evaluating machine learning and deep learning models, including foundation models and multimodal systems. This role will ...

Triwill Group

$180 - $240/hr

# Machine Learning Data Scientist, ForecastingRemoteSan FranciscoAll jobsRemote jobsRemote Data ScientistData Scientist Jobs## SkillsPythonSQLscikit-learnPyTorchTensorFlowtime-series ...

New

Apple

Machine Learning - Data Scientist

Sunnyvale, CA

$150K - $277K/yr

  • Medical

  • Dental

  • Retirement

The Video Engineering Data Analytics and Quality group is seeking an expert in evaluating machine learning and deep learning models, including foundation models and multimodal systems. This role will ...

Apple Inc.

Machine Learning - Data Scientist

Sunnyvale, CA · On-site

$150.40 - $277.60/hr

  • Medical

  • Dental

  • Retirement

The Video Engineering Data Analytics and Quality group is seeking an expert in evaluating machine learning and deep learning models, including foundation models and multimodal systems. This role will ...

Docugami

Machine Learning / Data Scientist

Kirkland, WA

  • Medical

  • PTO

Docugami is looking for Machine Learning, Data Science and Math PhD researchers to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking for ...

Docugami

Machine Learning / Data Scientist

Kirkland, WA · On-site

  • Medical

  • PTO

Docugami is looking for Machine Learning, Data Science and Math PhD researchers to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking for ...

Socket.dev

Senior Machine Learning Data Scientist

Houston, TX · On-site

$102 - $156.40/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Machine Learning Data Scientist Location: Houston, United States, 77056 Company: ENGIE North America Inc. Business Unit: Supply & Energy Management Division: BP B2B US Employment Type:

ENSCO, Inc.

Machine Learning Engineer

Melbourne, FL · On-site

Bachelors degree in Machine Learning, Data Science, Mathematics, or equivalent in a related ... discipline. Direct relevant military experience will also be considered. Minimum of 3 years related ...

Outpost

Machine Learning Data Engineer

Seattle, WA · Remote

$130K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... data that makes our models better. Today that's mostly measurement and curation. Once the pipeline ... Build and improve the continuous learning pipeline so new models ship weekly with minimal manual ...

Outpost

Machine Learning Data Engineer

Seattle, WA · On-site

$130 - $160/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... data that makes our models better. Today that's mostly measurement and curation. Once the pipeline ... Build and improve the continuous learning pipeline so new models ship weekly with minimal manual ...

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Machine Learning Data Associate information

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

As of Aug 20, 2026, the average hourly pay for machine learning data associate in the United States is $18.74, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $19.95 per hour, depending on experience, location, and employer.

What is a machine learning data associate?

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 are the key skills and qualifications needed to thrive as a machine learning data associate?

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 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.

How do I become a machine learning data associate?

To become a machine learning data associate, candidates typically need a high school diploma or equivalent, with some roles preferring a bachelor's degree in computer science, data science, or related fields. Relevant skills include data annotation, understanding of machine learning concepts, and proficiency with tools like Excel, SQL, or data labeling platforms. Gaining experience through internships or certifications can improve job prospects in this field.

Is a Machine Learning Data Associate a good job?

A Machine Learning Data Associate role involves preparing and managing data for machine learning models, often requiring skills in data cleaning, annotation, and familiarity with tools like Python or SQL. It can be a good entry-level position for those interested in AI and data science, offering opportunities to develop technical skills and gain industry experience. Compensation and job satisfaction vary depending on the employer and location, but it generally provides a solid foundation for a career in machine learning or data analysis.

What cities are hiring for Machine Learning Data Associate jobs?

Cities with the most Machine Learning Data Associate job openings:

What states have the most Machine Learning Data Associate jobs?

States with the most job openings for Machine Learning Data Associate jobs include:

Machine Learning Data Associate jobs near you
Infographic showing various Machine Learning Data Associate job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $38,974 per year, or $18.7 per hour.

Lead Instructor: Machine Learning Data Associate

Jobgether

Remote

$11.50 - $15.50/hr

Full-time

Posted 7 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Instructor: Machine Learning Data Associate based in Netherlands.

This is an opportunity to lead engaging, high-impact virtual learning experiences for diverse audiences developing skills in machine learning and AI data workflows. You will deliver live technical instruction in German while collaborating professionally in English with program and operations teams. The role combines technical expertise, instructional leadership, and the ability to make complex AI concepts practical and accessible. You will help learners understand how data labeling influences machine learning systems, generative AI, multimodal models, and applied AI workflows. Sessions may range from smaller groups to audiences of thousands of learners in a highly interactive online environment. You will also contribute to curriculum refinement and continuous course improvement. This is a part-time contract position with a remote setup and scheduled sessions aligned with the EST/CEST time zones.

Accountabilities
  • Lead and facilitate live virtual classes for diverse learner groups, potentially ranging from 100 to more than 8,000 participants, while maintaining strong engagement and an effective learning environment.
  • Deliver technical instruction in German on machine learning data workflows, generative AI, foundation models, prompt engineering, RAG, multimodal AI, responsible AI, and related concepts.
  • Explain how data collection, annotation, labeling decisions, model training, evaluation, and deployment are connected, helping learners understand the downstream impact of their work.
  • Manage virtual classroom dynamics, including Q&A, chat activity, pacing, learner engagement, and timely delivery of planned content.
  • Adapt instructional approaches, explanations, and lesson pacing to accommodate learners with different backgrounds and levels of technical understanding.
  • Prepare thoroughly for each lecture and ensure that technical content is delivered accurately, clearly, and in an accessible manner.
  • Collaborate with program and operations teams in English to support smooth delivery, communicate updates, escalate issues, and maintain alignment on schedules and learner needs.
  • Contribute to curriculum design and continuous improvement, including suggesting edits, refining lessons, and supporting the development of hands-on learning activities.
  • Provide constructive feedback before and after sessions to strengthen course quality and learner outcomes.
  • Maintain a professional, respectful, responsive, and empathetic presence when interacting with learners, colleagues, contractors, and guest speakers.
Requirements:
  • Fluency in German sufficient to deliver all instruction and learner support professionally, combined with strong English proficiency for written communication, meetings, alignment, and issue escalation.
  • Strong practical understanding of the machine learning lifecycle, including data collection, model training, evaluation, and deployment, with the ability to explain how labeling decisions affect model behavior and downstream outputs.
  • Solid knowledge of generative AI and foundation models, including concepts such as pre-training, fine-tuning, reinforcement learning from human feedback (RLHF), and human feedback for model alignment.
  • Hands-on experience with prompt engineering, including zero-shot, one-shot, and few-shot prompting, and the ability to teach learners how to interpret requirements, identify task constraints, and evaluate output quality.
  • Working knowledge of Retrieval-Augmented Generation (RAG) and production AI workflows, including the ability to explain how to assess outputs for relevance, faithfulness, and groundedness.
  • Understanding of multimodal and cross-modal AI, including how models process and generate text, images, audio, and video, and how these capabilities influence annotation and evaluation tasks.
  • Knowledge of responsible AI, privacy, confidentiality, security, bias awareness, and transparency principles relevant to data labeling and AI workflows.
  • Demonstrated experience delivering high-quality live virtual instruction, ideally to large and diverse audiences.
  • Experience supporting technical curriculum development, lesson refinement, skills labs, or similar instructional content.
  • Strong communication, presentation, empathy, adaptability, and classroom-management skills, with the ability to make complex technical concepts easy to understand.
  • A positive and collaborative mindset, with strong attention to preparation, professionalism, responsiveness, and continuous improvement.
  • Preferred: AWS Certified AI Practitioner (AIF-C01) certification or equivalent expertise, particularly experience aligning training content with certification domains and supporting exam readiness.
Benefits:
  • Remote work: Work remotely from Romania or another location compatible with the required time zone.
  • Part-time contract: Flexible engagement structured around scheduled instructional sessions and program needs.
  • Virtual-first environment: Deliver impactful learning experiences entirely online using modern virtual classroom tools.
  • High-impact teaching: Reach diverse learner populations and contribute to workforce development in AI and data.
  • Professional collaboration: Work alongside program, operations, and instructional teams in an international environment.
  • Curriculum involvement: Contribute ideas and expertise to the development and continuous improvement of technical training content.
  • Potential schedule flexibility: Program dates and lecture times may be adjusted depending on program requirements and instructor availability.
  • Inclusive environment: Participate in a learning culture focused on respect, accessibility, diversity, and equal opportunity.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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