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Work From Home Ai Data Annotation Jobs (NOW HIRING)

Develop full-stack tooling and backend services for large-scale data annotation, validation, and ... AI research labs * Fully remote and async-friendly - work from wherever you do your best work

... AI) and machine learning (ML). Q Analysts is headquartered in San Jose, CA with a presence ... Ability to work on repetitive tasks effectively * Strong written grammar skills * Professional ...

... of AI-generated content in English . Job Type: Freelance Location: Texas, work from home Work ... quality assurance, and data annotation and labeling. What We Offer * Flexible schedule

... of AI-generated content in English . Job Type: Freelance Location: Texas, work from home Work ... quality assurance, and data annotation and labeling. What We Offer * Flexible schedule

... voice work, or data annotation is a plus but not required Why This Matters * Every major AI ... Fully remote, work from anywhere quiet * Flexible hours that fit around your class schedule * Hands ...

$168K - $210K/yr

... AI data lifecycle ... from initial collection and annotation through to validation, fine-tuning, and model evaluation.

... gaps in AI and data science domains. Surface nuances that distinguish expert-level work from ... Prior experience with data annotation, labeling, evaluation, or human feedback collection.

Develop backend services and full-stack tooling for large-scale data annotation, validation, and ... Work on real production systems used by leading AI labs - not toy projects * Fully remote and ...

... gaps in AI and data science domains. Surface nuances that distinguish expert-level work from ... Prior experience with data annotation, labeling, evaluation, or human feedback collection.

Review real-world data from deployed networks, including logs, configs, telemetry, and event ... Work independently and asynchronously to meet deadlines and improve AI model performance

AI Researcher

New York, NY ยท Remote

$70 - $100/hr

... data science domains. Surface nuances that distinguish expert-level work from surface-level ... Prior experience with data annotation, labeling, evaluation, or human feedback collection.

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Work From Home Ai Data Annotation information

What is the difference between Work From Home Ai Data Annotation vs Work From Home Content Moderator?

AspectWork From Home Ai Data AnnotationWork From Home Content Moderator
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to content guidelines
Work EnvironmentRemote, flexible hours, computer-basedRemote, flexible hours, computer-based
Industry UsageTech, AI, machine learning companiesSocial media, online platforms, media companies
Job FocusLabeling data for AI trainingMonitoring and moderating online content

Both roles are remote and require basic computer skills, but Ai Data Annotation focuses on preparing data for AI models, while Content Moderators oversee online content to ensure compliance with guidelines. Understanding these differences helps job seekers find the right fit in the remote tech and media industries.

More about Work From Home Ai Data Annotation jobs
What cities are hiring for Work From Home Ai Data Annotation jobs? Cities with the most Work From Home Ai Data Annotation job openings:
What states have the most Work From Home Ai Data Annotation jobs? States with the most job openings for Work From Home Ai Data Annotation jobs include:
Infographic showing various Work From Home Ai Data Annotation job openings in the United States as of June 2026, with employment types broken down into 62% Full Time, and 38% Contract. Highlights an 100% Remote job distribution.

Data Platform Engineer (Python)

Alignerr

Seattle, WA โ€ข Remote

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Data Platform Engineer (Python)
About the Role
What if your Python expertise could directly shape the infrastructure that trains and evaluates the most advanced AI systems in the world? We're looking for a Senior Python Full-Stack Engineer to design and build the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on.
This is a fully remote, flexible contract role for an experienced engineer who thrives on high-impact, technically challenging work. If you've spent years building production Python systems and want to apply that experience at the frontier of AI development - this is the role.
  • 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 AI data pipelines and evaluation workflows
  • Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
  • Improve reliability, performance, and safety across existing Python codebases
  • Collaborate with data, research, and engineering teams to support model training and evaluation workflows
  • Identify bottlenecks and edge cases in data and system behavior, and implement scalable, production-ready fixes
  • Participate in synchronous design reviews to iterate on system 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 Python for data engineering
  • Proficient with workflow orchestration tools to manage complex dependency graphs
  • Experienced with dataframe processing libraries and cloud data warehouse SDKs in Python
  • Self-directed and reliable - able to commit 20-40 hours per week and deliver consistently
Nice to Have
  • Prior experience with data annotation, data quality, or model evaluation systems
  • Familiarity with AI/ML workflows, model training pipelines, or benchmarking infrastructure
  • Experience with distributed systems or developer tooling
  • Background working with or alongside AI research teams
Why Join Us
  • Work on real production systems used by leading AI research labs
  • Fully remote and async-friendly - work from wherever you do your best work
  • Freelance autonomy with the structure and consistency of ongoing project-based work
  • Make a tangible impact on the infrastructure powering next-generation AI models
  • Potential for extended engagement and additional projects as the work evolves