ZipRecruiter

Log In

2

Data Annotation Part Time Jobs in Texas (NOW HIRING)

YO AI Labs

AI Finance Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Finance Domain ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

YO AI Labs

AI Finance Expert - Remote

Houston, TX · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Finance Domain ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

YO AI Labs

AI Finance Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Finance Domain ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

YO AI Labs

AI Consulting Expert - Remote

Houston, TX · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Consulting ... Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail ...

YO AI Labs

AI Consulting Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Consulting ... Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail ...

YO AI Labs

AI Consulting Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Consulting ... Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail ...

previous page

Showing results 21-31

All JobsData Annotation JobsData Annotation Part Time JobsData Annotation Part Time Jobs in Texas

Data Annotation Part Time information

What is a data annotation part time job?

Data annotation part time jobs involve labeling or tagging data—such as images, text, audio, or video—to help train machine learning models. This work can include identifying objects in photos, transcribing audio, or categorizing content. Part time positions offer flexible hours and may be remote, making them a popular choice for students or those looking to supplement their income. Attention to detail and the ability to follow guidelines are important skills for these roles.

What are the key skills and qualifications needed to thrive as a data annotation part time worker?

To thrive as a Data Annotation Part Time worker, you need strong attention to detail, accuracy, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools, and sometimes basic spreadsheet software is typically required. Reliability, focus, and the ability to follow guidelines precisely are valuable soft skills in this role. These skills ensure high-quality, consistent data labeling, which is crucial for training effective AI and machine learning models.

What are some common challenges faced by part-time data annotation professionals, and how can they be managed?

Part-time data annotation professionals often encounter challenges such as repetitive tasks, maintaining concentration over extended periods, and understanding nuanced annotation guidelines. To manage these challenges, it's helpful to take regular short breaks, stay organized with clear labeling conventions, and communicate proactively with team leads or project managers when questions arise. Many teams also provide regular training updates and feedback sessions, which support continuous improvement and help annotators stay aligned with project requirements.

What is the difference between Data Annotation Part Time vs Data Labeling Specialist?

AspectData Annotation Part TimeData Labeling Specialist
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma; attention to detail
Work EnvironmentRemote or office-based; flexible hoursRemote or office; often project-based
Industry UsageAI, machine learning, data processingAI, machine learning, data processing
Job FocusAnnotating data for training AI modelsLabeling data to improve model accuracy

Data Annotation Part Time and Data Labeling Specialist roles are similar, focusing on preparing data for AI training. The main difference lies in terminology; 'Data Annotation' emphasizes the process, while 'Data Labeling' refers to the task. Both roles typically require similar skills and work environments, making them interchangeable in many contexts.

Does data annotation actually pay?

Data annotation jobs typically pay hourly or per task rates, with wages varying depending on the platform, complexity of the work, and experience. Many part-time data annotation roles offer minimum wage or slightly above, and some platforms provide flexible schedules for remote work. Payment is generally reliable if the work is completed accurately and on time.

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 Part Time jobs in Texas?

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

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

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

What cities in Texas are hiring for Data Annotation Part Time jobs?

Cities in Texas with the most Data Annotation Part Time job openings:

Data Annotation Part Time jobs near you
Infographic showing various Data Annotation Part Time job openings in Texas as of August 2026, with employment types broken down into 100% Part Time. Highlights an 60% In-person, and 40% Remote job distribution.

AI Finance Expert - Remote

YO AI Labs

Austin, TX • Remote

$100 - $200/hr

Part-time

Posted 7 days ago

Job description

Job Title: AI Finance Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Finance Domain Experts to contribute their financial expertise to an innovative project at the intersection of finance and artificial intelligence. In this role, you will help improve next-generation AI systems by reviewing, evaluating, and refining AI-generated financial content. No prior AI experience is required—your financial expertise, analytical skills, and professional judgment are what matter most.

Key Responsibilities

  • Analyze, review, and edit AI-generated financial content for accuracy, clarity, and relevance.

  • Develop, refine, and evaluate prompts related to financial analysis, valuation, and investment decision-making.

  • Assess and annotate financial data, reports, and AI-generated outputs using structured evaluation criteria.

  • Author and review investment memos, due diligence reports, research summaries, and technical documentation.

  • Evaluate AI outputs for logical consistency, factual accuracy, and adherence to professional financial standards.

  • Conduct independent research and fact-checking to validate financial information.

  • Provide detailed feedback to improve AI model performance and financial reasoning.

Required Skills

  • Critical Thinking

  • Analytical Reasoning

  • Quality Assurance

  • Prompt Engineering

  • AI Output Evaluation

  • Financial Analysis

  • Technical & Report Writing

  • Business Communication

  • Content Review & Editing

  • Fact Checking

  • Data Interpretation

  • Data Annotation

  • Problem-Solving

  • Independent Research

  • Attention to Detail

Preferred Qualifications

  • Minimum 3 years of experience in private equity, venture capital, investment banking, equity research, corporate development, investment management, or strategic finance.

  • Experience preparing investment memos, valuation analyses, financial models, due diligence reports, or market research.

  • Strong analytical, critical thinking, and problem-solving skills.

  • Excellent written communication and professional editing abilities.

  • Experience with prompt authoring, AI output evaluation, data annotation, or content review is a plus.

  • Master's, MBA, JD, PhD, or another advanced degree is preferred.

  • Commitment to producing high-quality, accurate, and well-documented work.