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Data Annotation For Ai Jobs in Spring, TX (NOW HIRING)

AI/ML Engineer

Houston, TX · On-site

$109K - $131K/yr

KDM is seeking an AI/ML Engineer to support the operation, optimization, and reliability of the ... Manage preprocessing workflows for domain‑specific data formats, including LAS, DLIS, SEG‑Y ...

AI/ML Engineer - Remote

Houston, TX · Remote

$200 - $350/hr

Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and inference. * Develop and maintain REST APIs and SDK integrations . * Collaborate with product, security ...

Design privacy guardrails for AI agents, generative AI, RAG pipelines, model inputs and outputs, embeddings, vector stores, and automated data workflows. Reduce Risk While Enabling Innovation:

KDM is seeking an AI/ML Engineer to support the operation, optimization, and reliability of the ... Manage preprocessing workflows for domain-specific data formats, including LAS, DLIS, SEG-Y, NAV ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of in ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of in ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of in ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

Showing results 41-60

Data Annotation For Ai information

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.

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

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

What is the difference between Data Annotation For Ai vs Data Labeler?

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

What job categories do people searching Data Annotation For Ai jobs in Spring, TX look for?

The top searched job categories for Data Annotation For Ai jobs in Spring, TX are:

What cities near Spring, TX are hiring for Data Annotation For Ai jobs?

Cities near Spring, TX with the most Data Annotation For Ai job openings:

AI Trainer - English-Chinese Bilingual Voice Recording

Houston, TX • On-site

Part-time

Posted 4 days ago


Job description

This is a project-based opportunity on an AI training platform. No fixed hours, no commitment beyond what fits your schedule. You talk, you get paid.

About the Role

We're looking for bilingual speakers to record short, casual voice clips where they naturally mix English with Chinese - the way they'd actually talk in real life. No script, no scenarios, just you talking about your day, your opinions, whatever comes naturally.

Do you switch between English and Chinese mid-sentence without even thinking about it? Rant about your day, discuss your favorite show, think out loud with different languages - say it exactly how you'd say it to a friend. What if you could get paid just for recording it?

Responsibilities:

  • Record 1-2 minute voice clips responding to a prompt or reacting to a short video
  • Speak naturally, switching between English and Chinese the way you normally would in everyday conversation
  • Complete a few clips per recording session

Requirements

  • Language: Fully bilingual - fluent or native in both English and Chinese, and someone who naturally mixes the two when speaking
  • Equipment: Any device works, including your phone - no studio or special equipment needed
  • Recording environment: A quiet room with no background music, TV, traffic, or other people talking
  • Audio quality: Clear voice, close to the mic, one speaker only, no echo. A headset or earbuds with a mic helps but isn't required
  • Note: Quiet, clean audio matters most - background noise or unclear speech can affect approval

Why is this freelance opportunity a great fit for you?

  • Get paid to talk - no perfect grammar, no formality: up to $5 per accepted task equivalent depending on the project
  • Do it from your couch, your phone, wherever's comfortable
  • Flexible, from home, paid per approved recording
  • If you naturally mix Chinese and English when you speak, you're exactly who we're looking for