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Data Annotation Research Jobs in Texas (NOW HIRING)

About the job Mercor connects elite creative and technical talent with leading AI research labs ... Annotate and structure inpatient nursing assessment data for AI training datasets . * Provide ...

Delivery Lead

Austin, TX · Remote

$110K - $140K/yr

Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage ...

Delivery Lead

Dallas, TX · Remote

$110K - $140K/yr

Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage ...

High Volume (TOFU) Recruiter

Dallas, TX · On-site +1

$55K - $100K/yr

Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage ...

High Volume (TOFU) Recruiter

Austin, TX · On-site +1

$55K - $100K/yr

Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage ...

Conduct extensive research to identify and curate relevant data sources for prompt development ... Solid knowledge of data collection, preprocessing, and annotation for prompt development.

Conduct extensive research to identify and curate relevant data sources for prompt development ... Solid knowledge of data collection, preprocessing, and annotation for prompt development.

Marketing Intern

Austin, TX · Hybrid

$20 - $25/hr

Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage ...

MRI Technologist

Houston, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and research activities. The Magnetic Resonance Imaging Technologist works closely with ... annotation, and protocol adherence • Transfer images accurately and timely to PACS and related ...

Showing results 41-60

Data Annotation Research information

What is data annotation research?

Data annotation research involves studying and developing methods for labeling data, such as images, text, or audio, to be used in training machine learning models. Researchers in this field focus on improving annotation accuracy, efficiency, and scalability, as well as addressing challenges like bias and consistency. This work is critical because high-quality annotated data is essential for building effective AI systems. Data annotation research often includes exploring new tools, techniques, and guidelines for human annotators or automated labeling systems.

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

To thrive as a Data Annotation Researcher, you need strong attention to detail, analytical thinking, and familiarity with data labeling concepts, often supported by a degree in computer science, linguistics, or a related field. Experience with annotation platforms, data management tools, and sometimes knowledge of programming languages like Python are typically required. Excellent communication, problem-solving abilities, and the capacity to work independently set standout contributors apart. These skills ensure high-quality, accurate data labeling, which is crucial for developing reliable AI and machine learning models.

What are some common challenges faced in data annotation research roles, and how can they be addressed?

Professionals in Data Annotation Research often encounter challenges such as maintaining consistency in labeling, dealing with ambiguous data, and managing large datasets efficiently. These issues can be addressed by following detailed annotation guidelines, participating in regular calibration sessions with the team, and utilizing annotation tools that support quality control checks. Collaboration with data scientists and project managers is essential to clarify ambiguities and ensure that annotated data meets the project's requirements. Staying proactive in communication and continuous learning helps to minimize errors and improve overall data quality.

What is the difference between Data Annotation Research vs Data Labeling Specialist?

AspectData Annotation ResearchData Labeling Specialist
CredentialsTypically requires a background in data science, research methods, or related fieldsOften requires basic technical skills and experience with labeling tools
Work EnvironmentResearch labs, tech companies, or remote research teamsData centers, tech companies, or remote labeling teams
Industry UsageUsed in AI/ML research, developing annotation methodologiesUsed in preparing datasets for machine learning models
Search & Comparison IntentUnderstanding research-focused roles in data annotationLooking for practical data labeling jobs

Data Annotation Research involves exploring new annotation techniques and improving data quality for AI models, often requiring research skills. In contrast, Data Labeling Specialists focus on applying existing labeling tools to annotate datasets efficiently. Both roles are essential in AI development but differ in scope and expertise.

What are popular job titles related to Data Annotation Research jobs in Texas?

For Data Annotation Research jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Data Annotation Research jobs in Texas look for?

The top searched job categories for Data Annotation Research jobs in Texas are:

What cities in Texas are hiring for Data Annotation Research jobs?

Cities in Texas with the most Data Annotation Research job openings:

Postdoctoral Fellow - Genitourinary Medical Oncology - Research

MD Anderson

Houston, TX

$64K - $76K/yr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 27 days ago


MD Anderson Cancer Center rating

8.4

Company rating: 8.4 out of 10

Based on 170 frontline employees who took The Breakroom Quiz

23rd of 887 rated healthcare providers


Job description

A postdoctoral position focused on cellular danger response signaling and interaction with the tumor immune microenvironment in renal cell carcinoma is available in the laboratory of Dr. Eric Jonasch. We are looking for highly self-motivated candidates with a recent PhD or MD degree, to investigate the cellular and molecular mechanisms of STING pathway signaling in renal cell carcinoma as well as therapy resistance to targeted therapy and immunotherapy.
To study the cellular and molecular mechanisms of cellular danger response in renal cell carcinoma as well as therapy resistance to chemotherapy, targeted therapy, and immunotherapy.
Successful candidate must be able to design novel projects, create hypothesis-driven experiment, maintain excellent descriptions of experiments performed, standardize and validate new methods and be able to interpret results. Computer skills such as entering data obtained from experiments into graphic and statistics programs as well as the generation of figures after image analysis are essentials. The employee should provide scientific expertise and organizational skills in getting involved in various research projects involving human subject research. Candidate will be responsible for coordinating procedures with collaborators. Other skills include performing technical laboratory duties in accordance with general and/or specific plans. Read, write and edit manuscripts and reports, as well as help with grant writing.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
LEARNING OBJECTIVES
-Develop capabilities for perform spatial transcriptomic analyses on RCC and VHL disease related samples.
-Develop and expand the ability to perform bioinformatic analyses of single cell and spatial transcriptomic analysis.
-Become proficient in the intersection of tumor immune microenvironment, tumor metabolism, tumor microbiome, disease progression and treatment response in patients with nodal disease.
-Learn metastatic and primary tumor tissue processing and clinical annotation in patients with locally advanced and metastatic disease.
To accomplish the learning objective, the candidate will be matched with GU oncology clinical faculty (Dr. Eric Jonasch as well as translational faculty (Dr. Xiande Liu).
ELIGIBILITY REQUIREMENTS
MD or PhD (recent, within 3 years)
- Prefer candidate to have knowledge of tissue processing for single cell studies, metabolomics, and microbiome studies
- Prefer candidate with skills in clinical database management and clinical specimen annotation.
ADDITIONAL APPLICATION INFORMATION
- Prefer candidate to have knowledge of tissue processing for single cell studies, metabolomics, and microbiome studies
- Prefer candidate with skills in clinical database management and clinical specimen annotation.
POSITION INFORMATION
MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000. depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition
Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html

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