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Data Associate Jobs in Missouri (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 ...

Boeing

Associate Engineering Data Scientist

Hazelwood, MO · On-site

$55K - $56K/yr

Associate Engineering Data Scientist Company: The Boeing Company Boeing Defense, Space & Security (BDS) is hiring an Associate Engineering Data Scientist for a Proprietary Program in Saint Louis, MO

Boeing

Associate Engineering Data Scientist

Hazelwood, MO · On-site

$55K - $56K/yr

Associate Engineering Data Scientist Company: The Boeing Company Boeing Defense, Space & Security (BDS) is hiring an Associate Engineering Data Scientist for a Proprietary Program in Saint Louis, MO

Central Bancompany

Data Entry Associate

Jefferson City, MO · On-site

$15.25 - $19.75/hr

Data entry and balancing of incoming co-mingled cash letters from our correspondent banks. Mobile deposit review and verification. Specific Duties: Data Entry, Balancing, Microsoft Excel blotter ...

Central Bancompany

Data Entry Associate

Jefferson City, MO · On-site

$15.25 - $19.75/hr

Data entry and balancing of incoming co-mingled cash letters from our correspondent banks. Mobile deposit review and verification. Specific Duties: Data Entry, Balancing, Microsoft Excel blotter ...

Pwc

Data Engineer - Senior Associate

Kansas City, MO · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Engineer - Senior Associate

Saint Louis, MO · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

RD Solutions LLC

Data Scanning Associate

Kansas City, MO · On-site

$15.50 - $20.25/hr

Research Associate Are you tired of being unsure how much your delivery/driver job will pay? Will the customer tip? We have a great side hustle job for you! Our jobs are preplanned with a flexible ...

RD SOLUTIONS INC

Data Scanning Associate

Washington, MO · On-site

$14.25 - $18.25/hr

If you are the type of person who is self-motivated, enjoys working independently, data entry and checking products, then you are the person we are looking for! What Does RDSolutions Offer You? * A ...

RetailData

Data Scanning Associate

Kansas City, MO · On-site

$15.50 - $20.25/hr

As a Research Associate, you can enjoy the flexibility of choosing when and how much you earn. All you need is reliable transportation to start making money. Why scan with RDSolutions? Choose your ...

RetailData

Data Scanning Associate

Washington, MO · On-site

$14.25 - $18.25/hr

If you are the type of person who is self-motivated, enjoys working independently, data entry and checking products, then you are the person we are looking for! What does RDSolutions Offer You? * A ...

KPMG

Associate, Federal Data Analyst

Saint Louis, MO · On-site

KPMG is currently seeking an Associate to join our Federal Advisory practice. Responsibilities: * Support delivery of client solutions using analytics, exploratory data analysis, data wrangling, and ...

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All JobsData Associate JobsData Associate Jobs in Missouri

Data Associate information

See Missouri salary details

$13

$31

$52

How much do data associate jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for data associate in Missouri is $31.02, according to ZipRecruiter salary data. Most workers in this role earn between $22.98 and $36.73 per hour, depending on experience, location, and employer.

What is a data associate?

Data Associates are professionals who collect, manage, process, and ensure the quality of data within an organization. They often work with databases, spreadsheets, and software tools to organize and validate data, making it accessible and accurate for analysis and reporting. Data Associates may also assist with data entry, cleaning, and basic analysis tasks, supporting teams like data analysts or data scientists. Their work is crucial for maintaining reliable information that drives business decisions.

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

To thrive as a Data Associate, you need strong analytical skills, attention to detail, and a solid foundation in data management or statistics, often supported by a bachelor's degree in a related field. Familiarity with data analysis tools such as Excel, SQL, and sometimes Python or data visualization software is commonly required. Excellent organization, problem-solving abilities, and effective communication help individuals stand out in this role. These skills ensure accurate data handling, reliable reporting, and clear collaboration across teams, which are critical for data-driven decision-making.

How does a data associate typically collaborate with other teams within an organization?

Data Associates frequently work alongside analysts, engineers, and business stakeholders to ensure data accuracy and accessibility. They may be responsible for gathering data from various sources, cleaning datasets, and supporting the data needs of other departments. Effective communication and teamwork are essential, as Data Associates often receive requests for reports or data updates and must coordinate with technical and non-technical colleagues to deliver actionable insights. This collaborative environment helps Data Associates learn about different business functions and can open doors for career growth.

What is the difference between Data Associate vs Data Analyst?

AspectData AssociateData Analyst
Required CredentialsBachelor's degree in related field, basic data handling skillsBachelor's or higher, often with specialized training in data analysis or statistics
Work EnvironmentData entry, data cleaning, supporting data management teamsAnalyzing data, creating reports, interpreting data trends
Employer & Industry UsageCommon in healthcare, finance, and tech companies for data support rolesUsed across industries for data-driven decision making

Data Associates focus on data entry, cleaning, and supporting data management tasks, often requiring basic technical skills. Data Analysts perform deeper analysis, interpret data, and generate insights, typically needing more advanced analytical skills. Both roles are essential in data-driven organizations but differ in complexity and responsibilities.

What are the most commonly searched types of Data jobs in Missouri?

The most popular types of Data jobs in Missouri are:

What are popular job titles related to Data Associate jobs in Missouri?

For Data Associate jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Data Associate jobs in Missouri look for?

The top searched job categories for Data Associate jobs in Missouri are:

Data Associate jobs near you
Infographic showing various Data Associate job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $64,530 per year, or $31 per hour.

Lead Instructor: Machine Learning Data Associate

Jobgether

Remote

$11.50 - $15.50/hr

Full-time

Posted 6 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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