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Flexible Data Annotation Analyst Jobs in Texas (NOW HIRING)

As the AIML Data Operations Team Lead, you will focus on leading a team of Annotation Analysts. You will be responsible for the team's operational success, mentoring their career growth, and ...

As the AIML Data Operations Team Lead, you will focus on leading a team of Annotation Analysts. You will be responsible for the team's operational success, mentoring their career growth, and ...

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

Support the development of autonomous mining machines by executing manual data annotation, sensor ... analyze and structure complex heavy machinery interactions into clear task-action-intent-outcome ...

New

... annotation guidelines and ensuring label quality. • Evaluate and apply the appropriate approach ... analysis of system performance to surface failure modes, data gaps, and high-value areas for ...

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Flexible Data Annotation Analyst information

What are the key skills and qualifications needed to thrive as a flexible data annotation analyst?

To thrive as a Flexible Data Annotation Analyst, you need keen attention to detail, analytical thinking, and a basic understanding of data labeling processes, often supported by a high school diploma or relevant experience. Familiarity with annotation tools such as Labelbox, Prodigy, or similar platforms, as well as basic proficiency in spreadsheet software, is typically required. Strong time management, adaptability, and clear communication skills help you deliver accurate results and work effectively with remote teams. These abilities ensure high-quality, consistent data labeling that is critical for training reliable machine learning models.

How does a flexible data annotation analyst typically collaborate with other teams to ensure data quality?

As a Flexible Data Annotation Analyst, you will frequently interact with data scientists, machine learning engineers, and project managers to clarify annotation guidelines and resolve ambiguities in the data. Collaboration often involves participating in virtual meetings, providing feedback on annotation tools, and reporting inconsistencies or uncertainties encountered during the labeling process. This teamwork ensures that annotated datasets meet project standards and contribute to high-quality machine learning outcomes. Regular communication and openness to feedback are key to success in this collaborative environment.

What is a flexible data annotation analyst?

A Flexible Data Annotation Analyst is a professional responsible for labeling, categorizing, and tagging data—such as text, images, audio, or video—to prepare it for use in machine learning and artificial intelligence projects. The 'flexible' aspect typically means the role allows for remote work, adjustable hours, or project-based assignments. Analysts use specific tools and follow detailed guidelines to ensure data quality and consistency. This role is crucial for training accurate AI models, as well-annotated data helps improve the performance of automated systems.
What are the most commonly searched types of Data Annotation Analyst jobs in Texas? The most popular types of Data Annotation Analyst jobs in Texas are:
What job categories do people searching Flexible Data Annotation Analyst jobs in Texas look for? The top searched job categories for Flexible Data Annotation Analyst jobs in Texas are:
What cities in Texas are hiring for Flexible Data Annotation Analyst jobs? Cities in Texas with the most Flexible Data Annotation Analyst job openings:

AIML Data Operations Team Lead

Apple

Austin, TX

Full-time

Posted 6 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

You’re passionate about supporting others to achieve the highest level of service in every interaction. You’re a role model and leader who advocates for their team. You’re invested in your work relationships and hold yourself and your team to a high standard of accountability. You’re naturally curious and gravitate towards tools and resources that enrich your team. If you are ready to inspire and lead, join Apple and help us leave the world better than we found it.
Are you interested in being part of a team that continues to innovate the way people and machines interact? The launch of Siri was a defining moment in the history of Artificial Intelligence. Siri offers a faster, easier way to get things done on your Apple devices, even before you ask. Millions of people now use Siri to send a message, play their favorite song or even take a selfie. As the AIML Data Operations Team Lead, you will focus on leading a team of Annotation Analysts. You will be responsible for the team’s operational success, mentoring their career growth, and collaborating cross-functionally with other internal teams.
Description
As an AIML Data Operations Team Lead, you’ll be responsible for providing daily leadership and promoting the development of 25-30 Annotation Analyst team members. You are self-motivated, friendly and have a passion to support your team’s development through critical and creative thinking. You’ll identify, promote, and implement innovative ideas to meet and exceed performance and quality goals set by leadership. You will support employees’ success through establishing relationships and seeking to understand what motivates individuals. You will oversee performance management, ensuring daily, monthly, quarterly operational metrics are met. You’ll effectively execute on management and administrative tasks such as leading staff meetings, conducting regular one-on-one’s, hiring, training, and development of employee performance. You will drive operational improvements, team collaboration, and recommend innovative solutions to business challenges. You’ll establish clear and effective working relationships and communication channels with internal partners.
This position comes with competitive pay, great benefits, eligibility to participate in our company stock plan, time off, an employee discount, and dedicated resources to support your ongoing growth and career development.
Additionally, some supervisor shifts require certain hours, to be present on campus, and can span any hours of operation, including evenings, weekends, and holidays.
Preferred Qualifications
Experience in the field of AIML- Data Annotation
Project Management
Data Analysis
Quality Management Systems
Minimum Qualifications
Experience in contact center or similar dynamic environment supervising 20-30 employees
Experience leading in a professional environment
Knowledge of contact center management tools, processes, procedures, and performance metrics, and can innovate and improve as needed
Excellent influencing skills and ability to work with key business partners
Prioritizes coaching needs and experienced in developing employees to achieve optimal results
Able to develop coaching plans that incorporate observations and key performance trends
Leads a standard for high-quality work by consistently meeting and exceeding performance goals
Strong and effective written and verbal interpersonal skills with the ability to tailor your message to your audience
Solution oriented leader who demonstrates creativity and curiosity
Ability to thrive in a dynamic and ambiguous environment

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976