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Freelance Machine Learning Data Annotation Jobs in Missouri

Iftechs

Senior Data Scientist - (Arnold, MO)

Arnold, MO · On-site

$90 - $130/hr

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 ...

Jobtailor

Machine Learning Engineer II

California, MO · On-site

$120 - $180/hr

Analyze data to improve models, features, and business outcomes * Collaborate with product ... Experience using machine learning frameworks * Solid software engineering fundamentals * Proven ...

New

Tiger Analytics, LLC

Senior Data Scientist

Saint Louis, MO · On-site

$90 - $120/hr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from ...

Varsity Tutors

Machine Learning Tutor

Kansas City, MO · Remote

$18 - $40/hr

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Columbia, MO · Remote

$18 - $40/hr

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Saint Louis, MO · Remote

$18 - $40/hr

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Wipro Limited

Machine Learning Specialist

Saint Louis, MO · On-site

$80K - $158K/yr

Core Technical Skills • Hands-on expertise in Python and SQL for data processing and automation. • Strong experience with all types of Machine Learning models, including model training and ...

New

iHerb

Principal Machine Learning Engineer

California, MO · On-site

$205 - $230/hr

Partner with the Data Platform team in a two-way exchange of best practices. * Adopt common patterns and build effective abstractions across different machine learning pipelines that simplify ...

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All JobsMachine Learning Data Annotation JobsFreelance Machine Learning Data Annotation JobsFreelance Machine Learning Data Annotation Jobs in Missouri

Freelance Machine Learning Data Annotation information

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 the key skills and qualifications needed to thrive as a freelance machine learning data annotation specialist?

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 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 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.

Can I work for freelance machine learning data annotation with no experience?

Freelance machine learning data annotation jobs often do not require prior experience, as many tasks involve simple labeling or categorization that can be learned quickly. Basic computer skills, attention to detail, and familiarity with annotation tools are helpful, and training is usually provided. However, building a portfolio or gaining some familiarity with data annotation platforms can improve job prospects.

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:

Freelance Machine Learning Data Annotation jobs near you

Senior IT Data Engineer

Je Dunn Construction Group

Kansas City, MO

$103K - $140K/yr

Full-time

Re-posted 3 days ago

JE Dunn Construction rating

8.6

Company rating: 8.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

Best People + Right Culture. These are the driving forces behind JE Dunn's success.

By hiring inspired people, giving them interesting and challenging work, enabling them with innovative tools, and letting them share in the company's rewards, we've found a sustainable way to grow in our industry for the last 100+ years.

Our diverse teams around the country strive to enrich lives through inspired people and places everyday, and we need inspired people like you to join us in our pursuit of building perfection.

Role Summary

The Senior Data Engineer designs, implements, and evolves enterprise data and machine learning capabilities using Microsoft Fabric and related modern data platforms. This role emphasizes enabling predictive and prescriptive analytics by building scalable data foundations, partnering with business stakeholders to identify high-value opportunities, and applying a deep understanding of machine learning, data science, and statistical concepts to real business problems. The position operates as a forward-looking technical leader who is comfortable working with rapidly changing technologies-including Fabric, data agents, Rayfin, and large language models-and exploring new ways to create business value from data. All activities will be performed in support of the strategy, vision and values of JE Dunn.

  • Autonomy & Decision-Making: Makes decisions on non-routine matters, provides recommendations to supervisor, and refers all exceptions to supervisor.
  • Career Path: Data Engineering Manager
Key Role Responsibilities - Core
  • Design and implement scalable data and analytics architectures in Microsoft Fabric that support predictive and prescriptive use cases
  • Partner with business stakeholders to understand operational challenges, available data, and opportunities to create measurable business value through analytics and machine learning
  • Apply a strong understanding of machine learning, data science, and statistical concepts to support model development, experimentation, and deployment
  • Support the development of predictive and prescriptive analytics solutions by preparing reliable, well-governed datasets for training, inference, and decision support
  • Evaluate emerging technologies such as Fabric, data agents, Rayfin, and large language models, and recommend practical ways to leverage them in new and innovative ways
  • Design data models and transformation processes that improve data quality, consistency, and usability for advanced analytics
  • Participate in architectural reviews to ensure new systems align with the organization's data, analytics, and AI strategy
  • Implement governance, lineage, metadata, and security practices that enable trusted self-service analytics and responsible AI usage
  • Monitor and improve the performance, reliability, and quality of data and ML workflows, including alerting for data drift and model performance issues
  • Document analytics and ML data dependencies, solution designs, and technical standards to support maintainability and scale
  • Collaborate across departments to identify data synergies, prioritize high-impact use cases, and communicate changes to stakeholders
  • Optimize data processes and platform capabilities to improve the speed, effectiveness, and cost-efficiency of analytics and machine learning solutions
Key Role Responsibilities - Additional Core

SENIOR DATA ENGINEER

In addition, this position will be responsible for the following:

  • Supports the definition of enterprise patterns and standards for advanced analytics, machine learning, and AI-enabled data products
  • Provides subject matter expertise for evolving or experimental initiatives involving predictive analytics, prescriptive analytics, and emerging technologies
  • Mentors junior team members on data science concepts, analytical thinking, and modern data platform best practices
  • Leads small to medium sized initiatives as a technical subject matter expert in advanced analytics and data architecture
  • Provides authoritative feedback on how upstream systems, business processes, and data structures can better support analytical and ML outcomes
  • Collaborates with key stakeholders and IT leadership to identify and prioritize data investments with clear business value
  • Contributes to the data and AI strategy roadmap and supports complex, high-impact initiatives that leverage modern and rapidly evolving technologies
Knowledge, Skills & Abilities
  • Ability to perform work accurately and completely, and in a timely manner
  • Communication skills, verbal and written
  • Time management skills
  • Ability to prioritize multiple projects
  • Ability to drive change through innovation & process improvement
  • Ability to communicate to executive audiences and deliver results through influence
  • Deep understanding of machine learning, data science, and statistical concepts, including how to apply them to business problems and value creation
  • Ability to work with business stakeholders to understand available data, identify opportunities, and define high-value predictive and prescriptive analytics use cases
  • Comfort working with cutting-edge and rapidly changing technologies, including Microsoft Fabric, data agents, Rayfin, and large language models
  • Ability to think creatively about how emerging technologies can be leveraged in new ways to improve decision-making and business outcomes
  • Proficiency in SQL - Intermediate
  • Proficiency in Python - Intermediate
  • Proficiency in Spark - Intermediate
  • Experience implementing data architectures and governed analytical data models in modern data platforms
  • Knowledge of data governance and security best practices
  • Experience developing and consuming REST APIs for data integration (Preferred)
  • Familiarity with Power BI and Microsoft Fabric (Preferred)
  • Experience with Microsoft Purview or similar data catalog and governance tools (Preferred)
  • Experience supporting or operationalizing machine learning models for predictive or prescriptive analytics (Preferred)
Education
  • Bachelor's degree in Computer Science, Data Engineering or related field (Required)
  • In lieu of the above requirements, equivalent relevant experience will be considered.
Experience
  • 5+ years of experience in data analytics or data engineering (Required)
Working Environment
  • Frequent activity: Sitting, Viewing Computer Screen
  • May require periods of overnight travel
  • Must be able to lift up to 10 pounds
  • Normal office environment
  • Occasional activity: Standing, Walking, Bending, Climbing, Reaching above Shoulder
Benefits Information

The benefits package aligned to this position is Professional Non-Union. Please click the link below for more details.

Click here for benefits details

This role is expected to accept applications for at least three business days and may continue to be posted until a qualified applicant is selected or the position has been cancelled.

JE Dunn Construction is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer and it is our policy to provide equal opportunity to all people without regard to race, color, religion, national origin, ancestry, marital status, veteran status, age, disability, pregnancy, genetic information, citizenship status, sex, sexual orientation, gender identity or any other legally protected category. JE Dunn Construction is a background screening, drug-free workplace.

JE Dunn provides reasonable accommodations to qualified individuals with disabilities. If you would like to request a reasonable accommodation in order to apply for a job, please submit your request to accommodations@jedunn.com

JE Dunn Construction Company does not accept unsolicited resumes from search firms or agencies. Any resume submitted to any employee of JE Dunn Construction without a prior written search agreement will be considered unsolicited and the property of JE Dunn Construction Company.  Please, no phone calls or emails.

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