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Full Time Machine Learning Data Annotation Jobs in Texas

Gormat

Data Scientist 3

San Antonio, TX

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical ...

Gormat

Data Scientist 3

San Antonio, TX · On-site

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical ...

Gormat

Data Scientist 3

San Antonio, TX · On-site

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical ...

TalentPros.AI

Staff Machine Learning Engineer

Austin, TX

$120K - $550K/yr

We are looking for visionary Machine Learning Engineers to join our Applied Group, where you'll ... Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they ...

PROS Holdings, Inc.

Machine Learning Engineer II

Houston, TX · On-site

$93K - $127K/yr

Design, implement, and productionize machine learning models and data pipelines in collaboration with data scientists and engineers. * Design, implement, and productionize machine learning models and ...

PROS

Machine Learning Engineer II

Houston, TX

$93K - $127K/yr

Design, implement, and productionize machine learning models and data pipelines in collaboration with data scientists and engineers. * Design, implement, and productionize machine learning models and ...

Futran Tech Solutions Pvt. Ltd.

Big Data Developer

Austin, TX · On-site

$52.50 - $68.25/hr

Big Data Developer Austin, TX (Day 1 onsite) - Full-time Primary Skillset: Spark, Scala, AWS ... Experience with machine learning algorithms and automated machine learning to automate and build ...

Avride

Machine Learning Engineer

Austin, TX · On-site

Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for ... Strong understanding of fundamental machine learning algorithms and neural network techniques.

Apple

Senior Manager - AI Data Operations

Austin, TX

... machine learning and analytics solutions. You'll partner across technical and program teams to ... Description You will lead an organization of internal domain experts, building scalable annotation ...

Shipwell

Machine Learning Engineer

Austin, TX · On-site +1

About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building ... You'll design, develop, and maintain the data pipelines and ML infrastructure that power our ...

Avride

Machine Learning Engineer

Austin, TX · On-site

They are seeking an experienced Machine Learning Engineer to design, implement, and optimize ... Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for ...

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Full Time Machine Learning Data Annotation information

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

To thrive as a Full Time Machine Learning Data Annotation Specialist, you need strong attention to detail, basic data literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency in specialized annotation platforms, spreadsheet tools, and sometimes knowledge of Python or labeling frameworks is typically required. Reliability, patience, and effective communication are valuable soft skills for ensuring accuracy and collaborating with team members. These skills and qualities are crucial because they directly impact the quality of training data, which is essential for developing effective machine learning models.

What are Full Time Machine Learning Data Annotation jobs?

Full time machine learning data annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Data annotators play a crucial role in ensuring that AI systems learn from high-quality, accurately labeled datasets. These positions often require attention to detail, consistency, and sometimes familiarity with the subject matter or specialized tools. Full-time roles may be remote or onsite and can span industries like autonomous vehicles, healthcare, retail, and more.

What are some common challenges faced by machine learning data annotators, and how are these typically addressed within a team?

Machine learning data annotators often encounter challenges such as maintaining consistency in labeling, handling ambiguous data, and meeting tight deadlines for large datasets. Teams usually address these by establishing clear annotation guidelines, conducting regular training sessions, and implementing quality assurance processes like peer reviews and spot checks. Collaboration with data scientists and project managers is also common, ensuring that annotators can ask questions and clarify uncertainties, leading to higher-quality labeled data and a supportive work environment.

What is the difference between Full Time Machine Learning Data Annotation vs Data Labeling Specialist?

AspectFull Time Machine Learning Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; some roles prefer technical certificationsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentOffice or remote; collaborative with data science teamsRemote or office; focused on labeling tasks
Industry UsageUsed across AI/ML companies, tech firms, and startupsCommon in AI/ML, data services, and outsourcing companies
Job FocusCreating labeled datasets for machine learning modelsAnnotating data such as images, videos, or text for AI training

Full Time Machine Learning Data Annotation involves creating high-quality labeled datasets for AI models, often requiring technical understanding. Data Labeling Specialists focus on annotating data accurately, typically with less emphasis on technical skills. Both roles are essential in AI development but differ mainly in scope and technical complexity.

What are the most commonly searched types of Machine Learning Data Annotation jobs in Texas? The most popular types of Machine Learning Data Annotation jobs in Texas are:
What are popular job titles related to Full Time Machine Learning Data Annotation jobs in Texas? For Full Time Machine Learning Data Annotation jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Full Time Machine Learning Data Annotation jobs in Texas look for? The top searched job categories for Full Time Machine Learning Data Annotation jobs in Texas are:
What cities in Texas are hiring for Full Time Machine Learning Data Annotation jobs? Cities in Texas with the most Full Time Machine Learning Data Annotation job openings:
Full Time Machine Learning Data Annotation jobs near you
Infographic showing various Full Time Machine Learning Data Annotation job openings in Texas as of May 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, and 5% Contract. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution.
Machine Learning Engineer - Automated Chromatography Analysis

Machine Learning Engineer - Automated Chromatography Analysis

Eurofins

Houston, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Eurofins rating

7.5

Company rating: 7.5 out of 10

Based on 174 frontline employees who took The Breakroom Quiz

55th of 103 rated laboratories

Job description

Company Description
Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins laboratories work with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic, and labelling is accurate.
Eurofins is dedicated to delivering testing services that contribute to the health and safety of society and the planet, and to its corporate responsibility to protect the environment and ensure diversity, equity, and inclusion across the entire network of Eurofins companies.
Job Description
We are seeking a Machine Learning (ML) Expert with experience in chemical data processing to drive AI innovations in analytical chemistry. You will design and deploy Machine Learning solutions for GC-MS, and HPLC-MS, data, working alongside scientists and engineers to extract valuable insights from complex datasets.
Job Duties:
  • Develop AI/ML models for processing mass spectrometry and chromatography data
  • Build software solutions to automate chemical data analysis and interpretation
  • Integrate ML algorithms into analytical pipelines for chemical property prediction and anomaly detection
  • Optimize data structures for high-throughput chemical analysis
  • Collaborate with data scientists
  • Troubleshoot complex technical issues and optimize software performance
  • Additional duties as assigned

Qualifications
Basic Minimum Qualifications:
  • MSc or PhD in Machine Learning, Data Science, Chemistry, or a related field
  • Strong programming skills in Python (Pandas, Scikit-learn, PyTorch, TensorFlow)
  • Experience with, GC-MS, HPLC-MS and handling large chemical datasets
  • Familiarity with cloud-based AI solutions (AWS, Azure, GCP)
  • Authorization to work in the United States without restriction or sponsorship

Ideal Candidate will have:
  • Experience with Docker, Kubernetes, CI/CD for scalable Machine Learning deployment
  • Knowledge of computational chemistry and cheminformatics
  • Background in pharmaceutical or industrial chemical analysis

Additional Information
Professional working proficiency in English is a requirement, including the ability to read, write and speak in English.
As a Eurofins employee, you will become part of a company that has received national recognition as a great place to work. We offer excellent full-time benefits including comprehensive medical coverage, life and disability insurance, 401(k) with company match, paid holidays, paid time off, and dental and vision options.
We support your development! Do you feel you don't match 100% of the requirements? Don't hesitate to apply anyway! Eurofins companies are committed to supporting your career development.
We embrace diversity! Eurofins network of companies believe in strength and innovation through diversity, being an Equal Opportunity Employer. We prohibit discrimination against employees or applications based on gender identity and/or expression, race, nationality, age, religion, sexual orientation, disability, and everything else that makes employees of Eurofins companies unique.
Sustainability matters to us! We are well on our way to achieving our objective of carbon neutrality by 2025, through a combination of emission reduction and compensation initiatives. We encourage our laboratory leaders to make sustainable changes at their local level, and in addition to their initiatives we also count on our dedicated carbon reduction team to help us to achieve this goal!
Find out more in our career page: https://careers.eurofins.com/
Eurofins USA Environment Testing is a Disabled and Veteran Equal Employment Opportunity employer.

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