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Data Annotation Intern Jobs in Texas (NOW HIRING)

HumanSignal

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 ...

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Data Annotation Intern information

What is a data annotation intern?

Data Annotation Interns are entry-level professionals who assist in labeling and categorizing data, such as images, audio, or text, to help train machine learning models. Their work is crucial for ensuring that AI systems can accurately interpret and process various types of data. Interns typically use specialized software tools to annotate data according to specific guidelines, and they may also help with data quality checks. This position is ideal for those interested in gaining experience in artificial intelligence, data science, or related fields.

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

To thrive as a Data Annotation Intern, you need strong attention to detail, basic computer literacy, and familiarity with data labeling concepts, often supported by a background in computer science or related fields. Familiarity with annotation tools like Labelbox, Supervisely, or CVAT and understanding of data formats such as JSON or XML are typically required. Effective communication, time management, and the ability to follow complex guidelines are important soft skills for this role. These skills ensure high-quality, consistent data labeling, which is crucial for training accurate machine learning models.

What are some common challenges faced by data annotation interns and how can they be overcome?

Data Annotation Interns often encounter challenges such as maintaining consistency and accuracy when labeling large volumes of data, especially when guidelines evolve or when dealing with ambiguous cases. To overcome these challenges, it's important to frequently review annotation guidelines, communicate proactively with supervisors or team members for clarification, and participate in regular quality checks. Collaborating with experienced annotators and leveraging feedback provided during peer reviews can also help interns improve their accuracy and efficiency.

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

AspectData Annotation InternData Labeling Specialist
CredentialsTypically pursuing or recent graduate in related fieldRelevant experience or certifications in data labeling
Work EnvironmentInternship setting, often in tech or AI companiesFull-time or freelance roles in data annotation projects
Industry UsageCommon in tech, AI, and machine learning industriesUsed across similar industries for data preparation
Job FocusLearning and assisting with data annotation tasksPerforming detailed data labeling and quality control

While both roles involve working with data annotation, a Data Annotation Intern is typically a beginner or student gaining experience, whereas a Data Labeling Specialist is a more experienced professional focused on precise data labeling tasks. Interns often work under supervision, while specialists handle independent projects.

Is it hard to get hired for data annotation intern?

Getting hired as a data annotation intern can be competitive but generally requires basic skills in data labeling, attention to detail, and familiarity with annotation tools. Many positions are entry-level and may not require extensive experience, making the application process accessible to beginners with relevant skills or coursework.

What are the most commonly searched types of Data Annotation jobs in Texas?

The most popular types of Data Annotation jobs in Texas are:

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

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

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

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

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

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

Data Annotation Intern jobs near you
Infographic showing various Data Annotation Intern job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Marketing Intern

HumanSignal

Austin, TX • Hybrid

$20 - $25/hr

Internship

Posted 12 days ago

Job description

About HumanSignal

Real-world data is the competitive edge in AI.

HumanSignal is a human data partner for companies building AI models and products. 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 the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide.


We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out.


If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk.

About the Role

You'll join a small marketing team at a fast-moving AI startup where you'll be exposed to a broad range of marketing disciplines and have autonomy to get things done. One day you're editing a launch video, the next you're staging an email campaign or planning a happy hour at a conference. You'll get real ownership, direct mentorship, and room to explore which part of marketing fits you: content, events, demand generation, community, or something you discover along the way.

We expect you to work with AI at every step. You'll use tools like Claude to draft, research, edit, and automate, and you'll help us create and hone new AI workflows the rest of the team adopts.

What You'll Do
  • Content: Manage the editorial calendar and publish posts across our blog and social channels. Edit videos and create graphics and media for launches, tutorials, and social.
  • Events: Coordinate logistics for conferences, meetups, and webinars: bookings, materials, shipping, schedules, and post-event follow-up.
  • Campaigns: Support marketing and recruiting campaigns by polishing and staging emails, standing up landing pages, and researching target accounts and candidates.
  • Swag: Support the swag program: track inventory, place orders, and get gear to community members, customers, and events on time.
  • Community: Help monitor and engage with our social and open source community; flag conversations worth joining.
  • Reporting: Track how content and campaigns perform and share what's working.
Who You Are
  • You use AI tools every day and get excited about building new workflows with them
  • You write well and edit your own work before anyone asks
  • You stay organized across many small moving pieces: calendars, shipments, deadlines, inboxes
  • You have some marketing experience: coursework, a prior internship, a student org, or a channel or project you built yourself
  • You're based in US timezones and available 15–25 hours per week (Austin or San Francisco for hybrid work preferred)
  • Big plus: video editing and media creation skills
What You'll Get
  • $20–25/hour, depending on experience
  • A front-row seat at an AI startup: learn how models get trained, evaluated, and shipped
  • A small team where you can pitch ideas, own projects end to end, and build a portfolio of real shipped work
  • Mentorship from experienced marketers and a chance to test-drive career paths before you commit to one
  • A flexible schedule that works around classes, and a team that moves fast and has fun doing it
How to Apply

Send us your resume plus one thing you've made that you're proud of: a video, a post, a campaign, a meme that went further than you expected.