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Freelance Machine Learning Data Annotation Jobs in Kansas

Knowmadics

Data Scientist

Wichita, KS · On-site

Develop and evaluate machine learning solutions to interdisciplinary problems in cybersecurity and telecommunications, working with structured (time-series, tabular) and unstructured (text, 3D) data

Overstory

Role & Team As a Staff Machine Learning Engineer at Overstory, you will lead the development and ... Reporting to our VP of Product Engineering, you'll work closely with data scientists, ML engineers ...

SynergisticIT

Entry Level PowerBI Developer

Topeka, KS · On-site

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions ...

Chubb

Data Analyst

Overland Park, KS · On-site

As a Data Analyst on our Strategic Outcomes and Data Analytics team, you'll be immersed in a ... Facilitate the configuration and deployment of advanced analytics software (machine learning ...

Chubb

Data Analyst

Overland Park, KS · On-site

As a Data Analyst on our Strategic Outcomes and Data Analytics team, you'll be immersed in a ... Facilitate the configuration and deployment of advanced analytics software (machine learning ...

PICTOR LABS INC

$89K - $123K/yr

Strong background in image processing pipelines and libraries (OpenCV, Pillow, scikit-image) for handling large-scale medical imaging data * Proven experience deploying ML systems on Kubernetes and ...

Sedgwick

Data Engineer AI

Overland Park, KS · On-site

$108K - $130K/yr

Build and maintain Feature Stores and specialized datasets optimized for machine learning, ensuring Data Scientists have immediate access to clean, versioned, and statistically valid data. • ...

Amgen

The BioIntelligence team applies machine learning, statistical modeling, and generative AI approaches to predict critical properties of engineered biologics and enable data-driven therapeutic design.

Garmin

Senior Software Engineer

Olathe, KS · On-site

$118K - $156K/yr

... of machine learning and large language model (LLM) capabilities across Garmin. You will partner closely with Data Scientists, Software Engineers, and Cloud/Infrastructure teams to develop self ...

Garmin International, Inc.

Senior Software Engineer

Olathe, KS · On-site

$118K - $156K/yr

... of machine learning and large language model (LLM) capabilities across Garmin. You will partner closely with Data Scientists, Software Engineers, and Cloud/Infrastructure teams to develop self ...

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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 job categories do people searching Freelance Machine Learning Data Annotation jobs in Kansas look for? The top searched job categories for Freelance Machine Learning Data Annotation jobs in Kansas are:
What cities in Kansas are hiring for Freelance Machine Learning Data Annotation jobs? Cities in Kansas with the most Freelance Machine Learning Data Annotation job openings:
Freelance Machine Learning Data Annotation jobs near you
Infographic showing various Freelance Machine Learning Data Annotation job openings in Kansas as of June 2026, with employment types broken down into 5% As Needed, 62% Full Time, and 33% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Machine Learning Scientist - Synthesis Planning and Optimization

Roche

Bern, KS • On-site, Remote

$167K - $310K/yr

Full-time

Posted 6 days ago

Roche rating

9.2

Company rating: 9.2 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

5th of 73 rated pharmaceutical

Job description

The Position

Join the small-molecule team within AI for Drug Discovery (AI4DD), formerly Prescient Design, at Roche and Genentech's Computational Sciences Center of Excellence as a Machine Learning Scientist / Senior Machine Learning Scientist in Synthesis Planning and Optimization. You will build ML methods that design molecules we can actually make - closing the loop between generative design and automated synthesis.

The Opportunity:

  • Develop and advance machine learning methods for synthesis-aware molecular design across retrosynthesis, synthesis planning, molecular generation, and search in synthesizable chemical spaces.
  • Integrate proprietary reaction and biochemical data to design the next generation of synthesis-aware models and workflows for hit finding and optimisation.
  • Build robust, scalable pipelines for active-learning loops that interface directly with automated and high-throughput synthesis platforms.
  • Design novel batch synthesis-planning algorithms that maximise chemical-space coverage, information gain and experimental efficiency.
  • Drive scientific impact through publications, open-source releases, and conference talks.
  • Collaborate widely with computational and experimental researchers at Roche and with academic partners.

Who you are:

  • You bring deep machine-learning expertise with a strong foundation in linear algebra, probability and optimization, and hands-on experience in modern machine learning approaches such as graph-neural networks, sequence/language models and reinforcement learning.
  • You are familiar with chemistry concepts relevant to synthesis planning and molecular optimisation as well as small molecule data and cheminformatics toolkits such as RDKit or Openeye.
  • You are fluent in Python and have experience with modern ML frameworks like PyTorch or JAX as well as scientific software development.
  • You hold a PhD or equivalent research depth in machine learning, computational chemistry, chemical engineering or a related quantitative field such as physics or statistics.
  • You have a record of scientific excellence evidenced by journal and conference publications or a public portfolio of relevant projects (e.g. hosted on GitHub/GitLab)..

Preferred:

  • Experience with retrosynthesis or synthesis-planning models.

  • Experience with automated/high-throughput synthesis.

If designing molecules that move from screen to synthesis to patients excites you, apply now and help build self-driving discovery at Roche.

The expected salary range for this position based on the primary location of California for the Machine Learning Engineer is $147,600, - $274,000, and the Senior Machine Learning Engineer for California is $167,400 - $310,800. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Benefits

#ComputationCoE

#tech4lifeComputationalScience

#tech4lifeAI

Where pay transparency applies, details are provided based on the primary posting location. For this role, the primary location is San Francisco. If you are interested in additional locations where the role may be available, we will provide the relevant compensation details later in the hiring process.

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

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