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Machine Learning Data Associate Jobs in Brooklyn, NY

StaffRight Associates - Recruitment & Staffing

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Data Associate - Drug Discovery

New York, NY · On-site

$170K - $210K/yr

... of foundational machine learning models applied to molecular dynamics and therapeutic design ... The Mission StaffRight Associates is spearheading an exclusive search for a high-caliber Data ...

New

StaffRight Associates - Recruitment & Staffing

Be Seen First

Data Associate - Drug Discovery

New York, NY · On-site

$170K - $210K/yr

... of foundational machine learning models applied to molecular dynamics and therapeutic design ... The Mission StaffRight Associates is spearheading an exclusive search for a high-caliber Data ...

New

StaffRight Associates - Recruitment & Staffing

Be Seen First

Data Associate - Drug Discovery

New York, NY · On-site

$170K - $210K/yr

... of foundational machine learning models applied to molecular dynamics and therapeutic design ... The Mission StaffRight Associates is spearheading an exclusive search for a high-caliber Data ...

New

Welocalize, Inc.

Data Labeling Associate

New York, NY · On-site

$17.50 - $22.75/hr

Modify and refine machine learning data creation, annotation, and rating guidelines. Model Training and Evaluation: * Initiate model training processes using internal tools and command-line ...

Mercor

Machine Learning Engineer

New York, NY · Remote

$27 - $32/hr

Expert Professionals -- AI & Data Science -- IN Type: Contract Compensation: $27-$32/hour Location ... machine learning domains. Surface nuances that distinguish expert-level work from surface-level ...

SysMind Tech

Machine Learning

Manhattan, NY · On-site

$85/hr

Stay updated with the latest trends and technologies in data science and machine learning. Basic Qualifications: Proficient in Python, Pandas, NumPy, Scikit-Learn, PySpark Bachelor s degree in ...

Forhyre

Machine Learning Engineer

New York, NY

Study and transform data science prototypes * Design machine learning systems * Research and ... implement appropriate ML algorithms and tools * Develop machine learning applications according to ...

Welocalize, Inc.

Data Quality Analyst

New York, NY

Modify and refine machine learning data creation, annotation, and rating guidelines. Model Training and Evaluation: * Initiate model training processes using internal tools and command-line ...

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All JobsMachine Learning Data Associate JobsMachine Learning Data Associate Jobs in Brooklyn, NY

Machine Learning Data Associate information

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$10

$19

$32

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

As of May 29, 2026, the average hourly pay for machine learning data associate in Brooklyn, NY 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 near Brooklyn, NY are hiring for Machine Learning Data Associate jobs? Cities near Brooklyn, NY 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 Brooklyn, NY as of May 2026, with employment types broken down into 76% Full Time, and 24% Part Time. Highlights an 96% Physical, 3% Hybrid, and 1% Remote job distribution, with an average salary of $40,981 per year, or $19.7 per hour.
Machine Learning Data Engineer

Machine Learning Data Engineer

Oden Technologies Ltd

New York, NY • On-site

$125.30K - $150.40K/yr

Full-time

Posted 26 days ago

Job description

About Oden:
Manufacturing is undergoing its fourth industrial revolution, with factory operations increasingly driven by real-time applications that combine process and context data with advanced ML and AI algorithms. This is unlocking a staggering opportunity to improve the efficiency and productivity of existing manufacturing processes.
As a Manufacturing AI company, Oden is at the forefront of this revolution. We combine large-scale data processing architectures and advanced AI and ML algorithms within the Oden platform so manufacturing operations teams can continuously monitor, analyze, and optimize their production, across a diverse set of processes and conditions. Our goal is to maximize efficiency, sustainability, and competitiveness in the manufacturing domain - to help True Makers Make Things Better!
Culture
  • We obsess over customers. Everything we do is to create profound results and delight for our customers. Every Viking cares about the purpose of the product and company, and prioritizes work based on customer end results. When in doubt, we go to the Gemba - we're happy to put on steel toe boots and hit the factory floor to work with the production manager.
  • We move fast and follow through - we live by transparent and scientific thinking, act with urgency, and put in the work to find the best ideas with those around us.
  • We elevate each other by giving and receiving direct, honest feedback and holding ourselves and others to a high standard to help the team rise, deliver, and win together.
  • "Be True Makers to Serve True Makers." We're building a community that fuels innovation and accelerates our pace and impact. We always ask if there's a better way to do something, even if it's unconventional - then we try it. We aim for bold yet simple solutions that cut through complexity and drive meaningful progress.

The Role:
As an ML Data Engineer, you will be responsible for researching, developing and implementing data and machine learning pipelines and systems to support applications that enable operations teams to manage and optimize the manufacturing process as effectively as possible. Applications for these systems include continuous predictions of quality, cost and machine failure, delivering live recommendations for process optimization, and identifying anomalies for real-time alerting etc.
As part of developing these systems, you will work with manufacturing data, including real-time sensor readings and measurements; context about this data collected from external systems; outcomes such as quality/cost/yield; and knowledge about the process from structured and unstructured sources. You will be expected to build systems and models that can learn from these high dimensional and heterogeneous timeseries datasets, and that can be adaptive to changing process conditions and explicit and implicit feedback. You will work with the latest techniques from deep learning, AI for timeseries, reinforcement learning, and recommendation systems to enable the applications.
You will work closely with Oden's Product team to build these systems as foundations for our product, and are expected to participate in the end-to-end engineering, carrying projects from conceptualization to development to deployment. You will also work closely with our customer success teams to develop an understanding of the process and deliver and validate results in production environments.
Responsibilities:
  • Developing and maintaining systems that manage the full ML lifecycle - from data preparation and model training to deployment and monitoring.
  • Working with our data scientists to create and deploy ML/AI models, algorithms, representations and methods that capture properties of complex manufacturing processes
  • Enable applications of these models to different problems for prediction, optimization, and monitoring and alerting.
  • Working with the engineering, product and customer success teams to Implement and deploy solutions
  • Validating results in real-world deployments with our customers
  • Generalizing solutions and innovating to create the next generation of product features
  • Engaging with the technical community to present results externally, keep up to date on recent advances, and advance the state of the art

Preferred Experience:
  • 3-5 years professional experience as an ML Engineer/Data Engineer and advanced degrees (M.S. or PhD. in Machine Learning, Distributed Systems, Computer Science with ML/AI focus, or related fields)
  • Proficient with distributed data processing systems e.g. Apache Beam/Dataflow, Apache Spark
  • Proficient with ML workflows and tools - including open source tools like MLFlow, cloud platforms like Vertex or Sagemaker
  • Proficient with Python, including most common ML and Optimization libraries
  • Experience with SQL and GCP is a plus.
  • Experience with designing, building and deploying performant ML products
  • Familiarity with unstructured data and Generative AI - especially around enterprise applications is a plus.
  • Enthusiasm to own projects end-to-end; from experimentation to customer delivery
  • This person should be based in the New York metro-area and willing to come to an office at least a several times a month

We anticipate the base salary band for this role will be between $120,000 and $190,000, in addition to equity and benefits. This role may be hired at the L3 Engineer level ($120,000 to $170,000) or the Senior ML Engineer level ($140,000 to $190,000). The salary at offer will be determined by factors such as the candidate's experience, knowledge, skills, and abilities, as well as internal equity among our team.
At this time, we cannot offer visa sponsorship. Candidates must be authorized to work in the United States without current or future employer sponsorship
At Oden, we are deeply committed to ensuring that every team member is engaged in work they are passionate about and find fulfilling. We prioritze your career development, offering personalized pathways for growth and advancement. Our approach is to align your strengths and interests with the company's goals, ensuring that you not only contribute meaningfully but also progress steadily in your professional journey, reaching new heights in your career.
We're an equal opportunity employer (EOE).
Diversity at Oden means building a team that is rich across all boundaries of race, ethnicity, gender identification, sexual orientation, disability, religion, age and thinking style. We welcome all backgrounds, life experiences, and worldviews as these are the catalyst for the rapid evolution of our product and our organization. Diversity allows us to tackle new challenges, embrace change, make well-informed decisions, and ultimately Make Things Better. In alignment with our "People First" company value, Oden has a passionate internal team dedicated to the promotion of diversity and inclusion initiatives as a core component of our culture.
Our diversity initiatives apply to our practices and policies on recruiting, compensation and benefits; professional development; promotions; social activities and the ongoing development of a psychologically safe work environment.

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