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Data Annotation Research Jobs in Dallas, TX (NOW HIRING)

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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 Dallas, TX?

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

What job categories do people searching Data Annotation Research jobs in Dallas, TX look for?

The top searched job categories for Data Annotation Research jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Data Annotation Research jobs?

Cities near Dallas, TX with the most Data Annotation Research job openings:

Infographic showing various Data Annotation Research job openings in Dallas, TX as of August 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 90% In-person, and 10% Remote job distribution.

Sr Analog Physical Design Engineer | Kilby Labs

Texas Instruments

Dallas, TX • On-site

$95K - $130K/yr

Full-time

Re-posted 20 days ago


Texas Instruments rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

49th of 157 rated electronics manufacturers


Job description


Senior Analog Physical Design Engineer position is available within Kilby Labs, the central R&D organization at TI. The lab is chartered to develop novel and innovative technologies and strategies for new business opportunities, drive next generation differentiated technologies for existing businesses and recruit top technical talent for TI. This role will require strong technical expertise, attention to detail, and the ability to deliver innovative solutions.
Responsibilities will include:
1. Collaborating with our design teams, sometimes from multiple geographical locations, to understand the architecture and key requirements in the creation of test/production dies, and the managing of the circuit layouts from floor planning to fabrication.
2. Project lead and team leader, providing technical guidance, planning, timelines, and resource assignments.
3. Conducting layout reviews and confirming all verifications and specifications have been met.
4. Working with our design and packaging teams to develop custom lead-frames.
5. Work closely with our ATD and PDK teams on new process and device development using Pcell Designer and other automated generation tools for various test vehicles.
6. Analysis and closure of Electro Migration, Thermal gradients, and layout parasitics.
7. Identifying ESD and latchup issues.
8. Back annotation support.
9. Mentor and guide contract layout engineers in India, review their work and provide feedback to meet quality and schedule expectations.
Qualifications
Minimum requirements:
  • Bachelor's degree in Electrical Engineering or related field.
  • 8+ years of relevant experience

Preferred qualifications:
1. Ability to establish strong relationships with key stakeholders critical to success, both internally and externally
2. Strong verbal and written communication skills
3. Demonstrated strong interpersonal, analytical and problem-solving skills
4. Ability to take the initiative and drive for results
5. Strong time management skills that enable on-time project delivery
6. Familiar with multiple TI process nodes from our lbc, cmos, bicmos, and gan technologies.
7. Ability to collaborate effectively with our design, pdk and packaging teams to help drive new innovations and troubleshoot problems.
8. Eager to learn new tools and help in their implementation within TI.
9. Ability to quickly ramp on new systems and processes.
10. Working knowledge of database management, caps execution and maintenance, and JUMP updates.
11. Expert in layout techniques, tools, and methodologies used for power, rf, and sensor layouts.
12. Proficient problem solving, documentation and organizational skills.
13. Familiar with Cadence Allegro, TOTEM, and Pcell Designer a plus, but not required.
About Us
Why TI?
  • Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.
  • We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI
  • Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us. Please find our country-specific benefits here

About Texas Instruments
Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and communications equipment. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com.
Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws.
If you are interested in this position, please apply to this requisition.
About the Team
TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment.

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About Texas Instruments

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As a global semiconductor company, we design, manufacture, test and sell analog and embedded processing chips to nearly 100,000 customers. Our products enable electronics everywhere and in things you experience every day - from health care, smart homes and connected cars to drones, smart phones and more. Our passion to create a better and more sustainable world by making electronics more affordable through semiconductors drives us to make our technology smaller, more efficient, more reliable and more affordable.

Industry

Semiconductor and electronic component manufacturing

Company size

10,000+ Employees

Headquarters location

Dallas, TX, US

Year founded

1930