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Full Time Machine Learning Data Annotation Jobs in Austin, TX

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 ...

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 ...

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.

Neuralink

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

Additionally, real-world data, such as video feeds, can be encoded into neural data to project ... Base Salary Range: $199,000-$331,000 USD What We Offer: Full-time employees are eligible for the ...

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 ...

Apple

Machine Learning Engineer

Austin, TX · On-site

Experience building data processing pipelines and large scale machine learning systems with experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc.Skilled in communication ...

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All JobsFull Time Machine Learning Data Annotation JobsFull Time Machine Learning Data Annotation Jobs in Austin, TX

Full Time Machine Learning Data Annotation information

See Austin, TX salary details

$37.2K

$121.7K

$194.8K

How much do full time machine learning data annotation jobs pay per year?

As of Jun 14, 2026, the average yearly pay for full time machine learning data annotation in Austin, TX is $121,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,600.00 and $134,800.00 per year, depending on experience, location, and employer.

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 Austin, TX? The most popular types of Machine Learning Data Annotation jobs in Austin, TX are:
What are popular job titles related to Full Time Machine Learning Data Annotation jobs in Austin, TX? For Full Time Machine Learning Data Annotation jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Full Time Machine Learning Data Annotation jobs in Austin, TX look for? The top searched job categories for Full Time Machine Learning Data Annotation jobs in Austin, TX are:
What cities near Austin, TX are hiring for Full Time Machine Learning Data Annotation jobs? Cities near Austin, TX with the most Full Time Machine Learning Data Annotation job openings:
Full Time Machine Learning Data Annotation jobs near you
AIML Data Operations - Account & Program Manager

AIML Data Operations - Account & Program Manager

Apple

Austin, TX • On-site

Full-time

Posted 18 hours ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Behind every groundbreaking AI innovation at Apple is a foundation of high-quality annotated data. We are looking for an AI/ML Data Operations Program Manager to play a critical role in ensuring the quality and efficiency of this vital process. ..In this role, you will engage with teams across Apple's ecosystem with the ultimate goal of delivering high-quality annotated data that enables AI advancements across the company. You will be responsible for capturing initial requirements, following through on all program commitments from our cross-functional operations and engineering teams, and maintaining the customer relationship. You will need to understand the strategic goals of your customers to help prioritize operations tasks and coordinate with capacity planning for operational resources. Imagine being at the heart of Apple's AI revolution, ensuring that our machine learning models are trained with the highest quality data. As a Program Manager, you will be the vital link between our innovative teams and the data they need to create the next generation of Apple products and features.
As an AI/ML Data Operations Program Manager, you will be at the core of our Artificial Intelligence and Machine Learning development process. You will collaborate with cross-functional teams to define annotation requirements, manage operational projects from prototype to scale, and ensure customer satisfaction by delivering high-quality data. Your work will directly contribute to the success of the next generation of Apple products and features.
10+ years of experience managing cross-functional programs across global teams.Experience communicating technical concepts to technical and non-technical audiences.Experience consolidating multiple points of view into recommendations to move projects forward.Experience building rapport and influencing stakeholders.Experience identifying and resolving process bottlenecks.Self-motivated and proactive, with the ability to thrive in a fast-paced, ambiguous environment.
Experience with data annotation tools and workflows, and a strong understanding of machine learning concepts and methodologies.

What Apple employees say

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Benefits

Hours and flexibility

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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

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