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Freelance Machine Learning Data Annotation Jobs in Missouri

We are looking for a Senior Data Scientist with experience processing, analyzing, and visualizing ... Develop advanced analytics, artificial intelligence and machine learning (AI/ML) models, and ...

We are looking for a Senior Data Scientist with experience processing, analyzing, and visualizing ... Develop advanced analytics, artificial intelligence and machine learning (AI/ML) models, and ...

We are looking for a Senior Data Scientist with experience processing, analyzing, and visualizing ... Develop advanced analytics, artificial intelligence and machine learning (AI/ML) models, and ...

(USA) Staff, Data Scientist

Cassville, MO · On-site

$110K - $220K/yr

Leveraging expertise in predictive analytics, machine learning, data strategy, and visualization, the team transforms complex data into actionable insights. Collaboration and innovation drive our ...

(USA) Staff, Data Scientist

Anderson, MO · On-site

$110K - $220K/yr

Leveraging expertise in predictive analytics, machine learning, data strategy, and visualization, the team transforms complex data into actionable insights. Collaboration and innovation drive our ...

(USA) Staff, Data Scientist

Noel, MO · On-site

$110K - $220K/yr

Leveraging expertise in predictive analytics, machine learning, data strategy, and visualization, the team transforms complex data into actionable insights. Collaboration and innovation drive our ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Enhance data feedback/annotation workflows to improve efficiency of our labeling team * Demonstrate ... Experience in machine learning, supervised and unsupervised and deep learning. * Experience in ...

Enhance data feedback/annotation workflows to improve efficiency of our labeling team * Demonstrate ... Experience in machine learning, supervised and unsupervised and deep learning. * Experience in ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

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Freelance Machine Learning Data Annotation information

What is the difference between Freelance Machine Learning Data Annotation vs Data Labeler?

AspectFreelance Machine Learning Data AnnotationData Labeler
CredentialsBasic understanding of annotation tools, sometimes with specialized domain knowledgeTypically no formal credentials required
Work EnvironmentRemote, flexible, project-basedOften remote or in-house, depending on employer
Industry UsageUsed in AI/ML development for training datasetsUsed in data preparation for various industries, including AI
Search/Comparison IntentFocuses on freelance opportunities, project scope, and toolsMore general, often employed by companies for data labeling tasks

Freelance Machine Learning Data Annotation involves independently completing annotation tasks for AI models, often with specialized tools and domain knowledge. Data Labelers typically perform similar tasks but may work as employees or contractors within a company. The main difference lies in the freelance nature and project-based work of data annotation roles.

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

To thrive as a Freelance Machine Learning Data Annotation specialist, you need attention to detail, basic knowledge of data labeling concepts, and familiarity with machine learning data types. Experience with annotation tools (such as Labelbox, RectLabel, or CVAT) and understanding of data privacy protocols are commonly required. Strong communication, time management, and the ability to follow complex guidelines are essential soft skills for delivering accurate results. These skills ensure high-quality, consistent data annotation, which is critical for effective machine learning model training and performance.

What is freelance machine learning data annotation?

Freelance machine learning data annotation involves labeling or tagging data—such as images, text, audio, or video—to help train machine learning models. As a freelancer, you work independently or through platforms, completing specific annotation tasks assigned by companies or researchers. This work is essential because high-quality labeled data is required for AI systems to learn and make accurate predictions. Annotators may categorize images, transcribe speech, or highlight relevant information in documents. The flexibility of freelancing allows you to choose projects and work remotely.

What are some common challenges faced by freelance machine learning data annotators, and how can they be managed?

Freelance machine learning data annotators often encounter challenges such as maintaining data accuracy, handling repetitive tasks, and understanding complex annotation guidelines. Staying organized and regularly reviewing project instructions can help ensure consistency and quality in annotations. Additionally, communicating proactively with project managers and utilizing annotation tools efficiently can help manage workload and clarify uncertainties. Building expertise in different data types (text, image, audio) also allows annotators to diversify their projects and reduce monotony.
What are popular job titles related to Freelance Machine Learning Data Annotation jobs in Missouri? For Freelance Machine Learning Data Annotation jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Freelance Machine Learning Data Annotation jobs in Missouri look for? The top searched job categories for Freelance Machine Learning Data Annotation jobs in Missouri are:
What cities in Missouri are hiring for Freelance Machine Learning Data Annotation jobs? Cities in Missouri with the most Freelance Machine Learning Data Annotation job openings:

Data Scientist - Senior

GRVTY

Arnold, MO • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Job description

What Impact You'll Have:
We are looking for a Senior Data Scientist with experience processing, analyzing, and visualizing large structured and unstructured datasets who will use their technical expertise, mission knowledge, and customer-centric focus to create and deliver advanced analytic solutions, automation, machine learning models, and compelling data-driven visual products. This is a mission-driven opportunity to support our government customer, with downstream impact to mission partners across the Intelligence Community (IC) and the Department of War (DOW).
The Senior Data Scientist will work closely with customer stakeholders, team leads, analysts, and visualization experts to understand complex challenges and develop innovative solutions that blend operational mission support with business analytics. This role will uncover key insights, identify trends, and transform complex data into actionable discoveries that inform mission execution and strategic decision-making.
As a technical leader and Subject Matter Expert (SME), this individual will help architect and deliver advanced analytics, AI/ML capabilities, automated workflows, and custom visualizations. The role will also support modernization and division-wide rebranding efforts by creating impactful products and capabilities that enhance both mission effectiveness and business performance.
What You'll Be Owning:
  • Leverage customer-specific Esri ArcGIS Enterprise portals (similar to Safehouse and ICGIS) to analyze and derive insights from the customer's databases, identify opportunities for increased efficiency, and develop visualizations and automation solutions that enhance both mission operations and business analytics.
  • Design and build highly customized visualizations, dashboards, and interactive applications using Python libraries such as Pandas, NumPy, Matplotlib, Plotly, Dash, and Bokeh.
  • Create bespoke visualization products that provide critical operational insights and support both business analytics and mission decision-making.
  • Develop automation solutions that streamline workflows, reduce manual effort, and improve the delivery of analytic and business intelligence products.
  • Develop advanced analytics, artificial intelligence and machine learning (AI/ML) models, and predictive solutions to identify patterns, relationships, and trends within diverse datasets.
  • Capture and communicate key insights through business analytics, identifying trends, performance indicators, and actionable discoveries that support strategic decision-making.
  • Work hand in hand with team leads, analysts, and visualization experts to support division-wide rebranding efforts and enhance the presentation and delivery of mission products.
  • Work with large structured and unstructured datasets in analytical and modeling environments to solve complex operational and intelligence challenges.
  • Lead and participate in the design of innovative solutions and refinement of existing analytic processes and workflows.
  • Translate customer requirements and mission challenges into actionable technical solutions, timelines, and resource plans.
  • Develop and maintain automated data processing pipelines and repeatable analytic workflows.
  • Conduct peer reviews to improve the quality of methodologies, procedures, and technical solutions.
  • Mentor team members and help build high-performing technical teams.
  • Present technical findings and recommendations to both technical and non-technical stakeholders.

What You Must Have:
  • Active TS/SCI clearance with the ability to obtain and maintain a CI Polygraph.
  • Strong working knowledge and hands-on experience with Esri solutions such as Esri ArcGIS Pro, ArcGIS Online, and secure enterprise Esri portals such as Safehouse and ICGIS.
  • Expert-level proficiency in Python and its data science and visualization ecosystem, including Pandas, NumPy, SciPy, Matplotlib, Plotly, Dash, Bokeh, and related libraries.
  • Demonstrated experience creating highly customized visualizations and analytic applications to meet unique operational and business requirements.
  • Demonstrated experience automating analytic and business processes using Python and related technologies.
  • Experience applying artificial intelligence and machine learning (AI/ML) techniques to structured and unstructured datasets.
  • 10+ years of relevant experience in data science, advanced analytics, machine learning, data visualization, and business analytics. A combination of experience, professional certifications, and technical training may be considered in lieu of some years of experience.
  • Experience supporting Intelligence Community operations.
  • Demonstrated experience in data mining and developing, maintaining, and manipulating databases.
  • Experience identifying and implementing system enhancements, new capabilities, concept demonstrators, and modernization initiatives.
  • Knowledge of advanced analytic methodologies and experience implementing them to support mission and business objectives.
  • Strong written and verbal communication skills with the ability to explain complex technical concepts in a clear and understandable manner.

What Would Be Nice to Have:
  • Master's degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Business Analytics, Geographic Information Systems, or a related technical discipline.
  • Experience supporting National Geospatial-Intelligence Agency (NGA) or other GEOINT-focused organizations.
  • Advanced data visualization experience involving network analytics, graph analytics, matrix analytics, and common operational picture development.
  • Experience writing and optimizing SQL to query, transform, and analyze large datasets.
  • Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Familiarity with cloud computing, containerization, and DevSecOps practices.

Why Choose GRVTY
The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world.
We partner with our customers to help them overcome challenges in every corner of technology and defense-including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives.
At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance.
• Robust health plan including medical, dental, and vision
• Health Savings Account with company contribution
• Annual Paid Time Off and Paid Holidays
• Paid Parental Leave
• 401k with generous company match
• Training and Development Opportunities
• Award Programs
• Variety of Company Sponsored Events
EEO Statement
GRVTY, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability.
Anyone requiring reasonable accommodations should email recruiting@grvty.com or call 703-544-7930 with requested details. A member of the HR team will respond to your request within 2 business days.
Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov)
Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.