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Data Project Management Jobs in Missouri (NOW HIRING)

Jobgether

$40 - $54/hr

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a #49426 Video Annotation & Data Labeling Project based in Netherlands.

AB InBev

Data Lead - Project Aurora

Saint Louis, MO

$50.25 - $68/hr

The Data Lead for Project Aurora is accountable for overseeing the entire data cleansing and ... Additionally, the Lead will manage a data team, delegate assignments, and facilitate daily stand-up ...

AB InBev

Data Lead - Project Aurora

Saint Louis, MO · On-site

$50.25 - $68/hr

The Data Lead for Project Aurora is accountable for overseeing the entire data cleansing and ... Additionally, the Lead will manage a data team, delegate assignments, and facilitate daily stand-up ...

ResolveSoft Inc

Data Management Specialist

Kansas City, MO · On-site

$70K - $92K/yr

The Data Management Specialist works closely with the Data Engineer/Data Project Lead, Data Analysts, Data Visualization Specialists, and program staff to ensure data are reliable, well-documented ...

Jobgether

You will work across clinical, data, statistical, regulatory, financial, and operational functions ... Lead and directly manage a team of approximately 10-15 Clinical Project Managers, including hiring ...

Coegi

Project Management Supervisor

Clayton, MO · On-site

Summary The Project Management Supervisor has two primary job functions: to support a limited ... Maintain working relationships with counterparts in Client Engagement, Digital Operations, and Data ...

Coegi

Project Management Supervisor

Kansas City, MO · Hybrid

Summary The Project Management Supervisor has two primary job functions: to support a limited ... Maintain working relationships with counterparts in Client Engagement, Digital Operations, and Data ...

Coegi

Project Management Supervisor

Columbia, MO · Hybrid

Summary The Project Management Supervisor has two primary job functions: to support a limited ... Maintain working relationships with counterparts in Client Engagement, Digital Operations, and Data ...

Coegi

Project Management Supervisor

Saint Louis, MO · Hybrid

Summary The Project Management Supervisor has two primary job functions: to support a limited ... Maintain working relationships with counterparts in Client Engagement, Digital Operations, and Data ...

Boeing

Project Management Specialist

Maryland Heights, MO · On-site

$75K - $94K/yr

You will have a proven track record of managing software suppliers, optimizing development tools, and driving project success by applying a data-driven approach and agile methodologies. Position ...

Boeing

Project Management Specialist

Maryland Heights, MO · On-site

$75K - $94K/yr

You will have a proven track record of managing software suppliers, optimizing development tools, and driving project success by applying a data-driven approach and agile methodologies. Position ...

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Data Project Management information

What is data project management?

Data Project Management involves overseeing projects that focus on collecting, analyzing, and utilizing data to achieve specific business goals. This role requires managing timelines, resources, and teams to ensure data initiatives are delivered successfully. Data project managers coordinate between data engineers, analysts, stakeholders, and other departments to define project requirements and deliverables. They also ensure that data quality, privacy, and security standards are met throughout the project lifecycle.

How does a data project manager typically collaborate with data engineers and analysts during a project lifecycle?

As a Data Project Manager, you will frequently act as a bridge between data engineers, analysts, and other stakeholders. Your role involves coordinating tasks, clarifying project requirements, and ensuring smooth communication among team members. You'll facilitate regular meetings to track progress, resolve any data-related challenges, and adjust timelines as needed. By fostering collaboration, you help ensure that technical teams deliver actionable insights on schedule and that business goals are met efficiently.

What are the key skills and qualifications needed to thrive as a data project manager, and why are they important?

To thrive as a Data Project Manager, you need a solid background in project management, data analysis, and familiarity with methodologies like Agile or Scrum, often supported by a degree in a related field and certifications such as PMP or Certified ScrumMaster. Proficiency with project management tools (e.g., Jira, Trello), data visualization platforms (e.g., Tableau, Power BI), and database systems is typically required. Strong communication, leadership, and problem-solving skills help foster collaboration among technical and non-technical stakeholders. These skills ensure data projects are delivered on time, within scope, and aligned with organizational objectives.

What is the difference between Data Project Management vs Data Analyst?

AspectData Project ManagementData Analyst
Primary FocusOverseeing data projects, coordinating teams, ensuring project deliveryAnalyzing data sets to extract insights and generate reports
Required SkillsProject management, communication, data understandingStatistical analysis, data visualization, SQL
CertificationsPMP, Certified ScrumMaster, Data Management certificationsMicrosoft Excel, SQL, Tableau certifications
Work EnvironmentProject teams, cross-functional collaboration, client interactionData analysis tools, reporting platforms, data warehouses

Data Project Management and Data Analysts both work with data, but their roles differ. Data Project Managers focus on leading data initiatives, coordinating teams, and ensuring project success. Data Analysts concentrate on analyzing data to provide insights. Understanding these differences helps in choosing the right career path or hiring the right professional.

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

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

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

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

Data Project Management jobs near you
Infographic showing various Data Project Management job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution.

#49426 Video Annotation & Data Labeling Project

Jobgether

On-site

$40 - $54/hr

Contractor

Posted 11 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 #49426 Video Annotation & Data Labeling Project based in Netherlands.

Join a long-term AI data project focused on transforming video content into high-quality training data for advanced AI systems.
You will work on video captioning, timeline segmentation, action labeling, and AI-generated content verification.
The role requires exceptional attention to detail and the ability to describe only what can be objectively verified on screen.
You will follow precise annotation guidelines while maintaining strong accuracy, consistency, and productivity.
Successful contributors can gain priority access to more advanced and higher-paid AI data projects.
The project provides structured onboarding and certification to help you master the required workflows and quality standards.
It is an opportunity to contribute directly to the development and improvement of next-generation AI models while working within a quality-focused environment.

Accountabilities
  • Write concise 1-2 sentence summaries of video action sequences using simple, objective English and following strict annotation guidelines.
  • Segment video timelines into discrete, action-based sections, ensuring a minimum of 2-3 segments per task with no gaps or overlaps.
  • Create action labels using simple present tense and describe only actions that are directly and visually verifiable.
  • Review and edit AI-generated captions to ensure accuracy, consistency, and compliance with project guidelines.
  • Identify and correct inconsistencies or inaccuracies in automatically generated annotations.
  • Maintain a high level of annotation quality, targeting benchmark accuracy of 85-90% or higher.
  • Complete annotation workflows efficiently, with an expected productivity benchmark of approximately 4 minutes per minute of video.
  • Use keyboard shortcuts and established workflow tools to complete tasks efficiently.
  • Run required background screen-recording software during task execution.
  • Follow all project procedures, productivity expectations, quality standards, and certification requirements.
  • Maintain concentration and consistency throughout repetitive, detail-oriented annotation tasks.
Requirements
  • Strong attention to detail and a demonstrated ability to identify subtle differences or inconsistencies in visual content.
  • Ability to describe only what is visibly observable without assumptions, interpretations, or inferred information.
  • Strong written English skills and the ability to communicate actions using clear, simple, and consistent language.
  • Ability to follow detailed guidelines precisely and apply the same rules consistently across a large volume of tasks.
  • Strong accuracy and quality orientation, with the ability to achieve and maintain an 85-90%+ benchmark accuracy level.
  • Ability to work efficiently toward productivity targets and complete a 1-minute video annotation workflow in approximately 4 minutes.
  • Comfortable learning and using keyboard shortcuts and structured digital workflows.
  • Ability to run background screen-recording software while completing assigned tasks.
  • Strong focus and discipline when working on repetitive, quality-sensitive activities.
  • Comfortable working independently within a structured, process-driven environment.
  • Willingness to complete an approximately 3-hour certification and onboarding process.
  • Ability to review training materials, complete practice tasks, and successfully pass 5 certification tasks within the required 4-minute-per-video time limit.
Benefits
  • Competitive project-based rate of $2.00-$5.00 per hour, depending on verified quality and productivity.
  • One-time $10 bonus via PayPal after successfully completing the certification process.
  • Access to upcoming batches of paid annotation tasks after certification.
  • Priority access to more advanced and higher-paid AI data projects for successful contributors.
  • Structured onboarding with guidelines, training videos, practice tasks, and certification support.
  • Opportunity to build practical experience in AI data annotation, video understanding, model evaluation, and AI quality assurance.
  • Flexible task-based work within a long-term AI data project.
  • Payments processed securely through PayPal.
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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