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From Home Ai Annotation Jobs (NOW HIRING)

Bot Auto

Data Annotation Specialist

Houston, TX

Role Overview We are seeking a highly meticulous and motivated Data Annotation Specialist to join ... If you are passionate about AI, safety, and transforming logistics, we want to hear from you.

Bot Auto

Data Annotation Specialist

Houston, TX · On-site

Role Overview We are seeking a highly meticulous and motivated Data Annotation Specialist to join ... If you are passionate about AI, safety, and transforming logistics, we want to hear from you.

Maxar

Senior Imagery Analyst (Data Annotation)

Falls Church, VA · On-site

$91K - $115K/yr

... AI/ML development. Responsibilities : * Provide quality assurance reviews of annotated geospatial ... The application window is three days from the date the job is posted and will remain posted until a ...

Jobgether

The role offers autonomy, scalability, and the flexibility to work from anywhere within the ... Follow detailed annotation guidelines and quality standards to ensure data accuracy and consistency.

Propio Language Services

AI Engineer

Leawood, KS · On-site

$111K - $133K/yr

This is a hands-on technical role for someone who understands how to manage the full AI data lifecycle, from acquisition, curation, annotation, and quality control to evaluation datasets and post ...

Propio

AI Engineer

Leawood, KS · On-site

$111K - $133K/yr

This is a hands-on technical role for someone who understands how to manage the full AI data lifecycle, from acquisition, curation, annotation, and quality control to evaluation datasets and post ...

Propio

AI Engineer

Leawood, KS · On-site

$111K - $133K/yr

This is a hands-on technical role for someone who understands how to manage the full AI data lifecycle, from acquisition, curation, annotation, and quality control to evaluation datasets and post ...

Mercor

Network Engineer - Data Annotation

New York, NY · Remote

$50 - $70/hr

About the job Mercor connects elite creative and technical talent with leading AI research labs ... Review real-world data from deployed networks, including logs, configs, telemetry, and event ...

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From Home Ai Annotation information

What is the difference between From Home Ai Annotation vs Data Labeler?

AspectFrom Home Ai AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, home-basedRemote, home-based or office
Industry UsageAI training, machine learning projectsAI, autonomous vehicles, healthcare, e-commerce
Job FocusAnnotating data for AI modelsLabeling data for machine learning

Both From Home Ai Annotation and Data Labeler roles involve annotating data to train AI systems. However, From Home Ai Annotation typically emphasizes specific AI annotation tasks, while Data Labeler may encompass broader data labeling responsibilities across various industries. Both jobs are remote and require similar skills, making them closely related in the AI and machine learning industry.

What are the key skills and qualifications needed to thrive as a Work-from-Home AI Annotation Specialist, and why are they important?

To thrive as a Work-from-Home AI Annotation Specialist, you need strong attention to detail, data entry proficiency, and a basic understanding of AI or machine learning concepts, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, labeling tools, and productivity software such as spreadsheets is important. Excellent time management, self-motivation, and clear written communication skills help individuals excel in remote and deadline-driven environments. These abilities ensure accurate data labeling, which is critical for developing reliable AI models and maintaining workflow efficiency.

What is a work from home AI annotation job?

A work from home AI annotation job involves labeling, categorizing, or tagging data such as images, videos, text, or audio to help train artificial intelligence models. Annotators follow specific guidelines to ensure data is accurately and consistently marked, which is crucial for machine learning systems to learn and improve. These positions typically require attention to detail, basic computer skills, and the ability to work independently. Many companies offer flexible schedules, making it a popular remote job option.

What are some common challenges faced by remote AI annotation specialists, and how can they be overcome?

Remote AI annotation specialists often encounter challenges such as maintaining consistent quality, managing repetitive tasks, and staying motivated without in-person supervision. To overcome these, it's helpful to establish a structured daily routine, take regular breaks to avoid fatigue, and use productivity tools to track progress. Additionally, clear communication with team leads and participating in regular feedback sessions can help address uncertainties and ensure annotation standards are met.
More about From Home Ai Annotation jobs
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What are the most commonly searched types of Ai Annotation jobs? The most popular types of Ai Annotation jobs are:
What states have the most From Home Ai Annotation jobs? States with the most job openings for From Home Ai Annotation jobs include:
What job categories do people searching From Home Ai Annotation jobs look for? The top searched job categories for From Home Ai Annotation jobs are:
From Home Ai Annotation jobs near you
Infographic showing various From Home Ai Annotation job openings in the United States as of May 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% Remote job distribution.

Senior Python Full-Stack Engineer - AI Data & Infrastructure

Alignerr

Manhattan, NY • Remote

Other

Posted 4 days ago

Job description

Senior Python Full-Stack Engineer - AI Data & Infrastructure
About the Role
What if your Python expertise could directly shape the infrastructure behind the world's most advanced AI systems? We're looking for a Senior Python Full-Stack Engineer to build and optimize the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve next-generation models.
This is a fully remote contract role with meaningful technical challenges, flexible hours, and the opportunity to work on production systems that sit at the frontier of AI development.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 20-40 hours/week
What You'll Do
  • Design, build, and optimize high-performance Python systems supporting large-scale AI data pipelines and evaluation workflows
  • Develop full-stack tooling and backend services for data annotation, validation, and quality control at scale
  • Improve the reliability, performance, and safety of existing Python codebases
  • Collaborate with data, research, and engineering teams to support model training and evaluation infrastructure
  • Identify bottlenecks and edge cases in data and system behavior - then implement scalable, production-ready fixes
  • Participate in synchronous design reviews to iterate on architecture and implementation decisions
Who You Are
  • Native or fluent English speaker with clear written and verbal communication skills
  • Full-stack developer with a strong systems programming background
  • 5+ years of professional experience writing production-grade Python
  • Deep understanding of performance optimization and concurrency - asyncio, multiprocessing, threading
  • Comfortable with type safety tooling such as Pydantic and mypy
  • Experienced building robust backend services (FastAPI, Django, or similar) or scalable data pipelines
  • Able to commit 20-40 hours per week with consistency
Nice to Have
  • Prior experience with data annotation, data quality pipelines, or evaluation systems
  • Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
  • Experience with distributed systems or developer tooling
  • Background working alongside research or applied ML teams
Why Join Us
  • Work directly on production AI infrastructure used by leading research labs
  • Fully remote and flexible - work from anywhere on a schedule that suits you
  • Freelance autonomy paired with technically meaningful, high-impact work
  • Collaborate with sharp engineers and researchers at the cutting edge of AI
  • Potential for ongoing work and contract extension as projects evolve and expand

Apply