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Per Diem Remote Data Annotation Jobs (NOW HIRING)

TSMG

AI/ML Data Contributor

Fargo, ND · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Boise, ID · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Boise, ID · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Chicago, IL · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Louisville, KY · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Philadelphia, PA · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Louisville, KY · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Philadelphia, PA · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Chicago, IL · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Cheyenne, WY · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

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All JobsPer Diem Remote Data Annotation Jobs

Per Diem Remote Data Annotation information

See salary details

$37.5K

$122.7K

$196.5K

How much do per diem remote data annotation jobs pay per year?

As of Jun 21, 2026, the average yearly pay for per diem remote data annotation in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

Is remote data annotation legit?

Remote data annotation jobs are legitimate opportunities in the tech industry, involving labeling data for machine learning models. However, job seekers should verify the employer's credibility and be cautious of scams that request upfront payments or personal information. Reliable companies typically provide clear instructions, training, and fair compensation for annotation tasks performed remotely.

Does data annotation actually pay well?

Data annotation jobs, including per diem remote roles, typically pay hourly rates that are often below average compared to other tech-related positions. Compensation varies based on experience, task complexity, and platform, but generally, these roles are considered entry-level with modest pay. Skilled annotators or those working on specialized projects may earn higher wages, especially with consistent work and efficiency.

What are the key skills and qualifications needed to thrive as a Per Diem Remote Data Annotation Specialist, and why are they important?

To thrive as a Per Diem Remote Data Annotation Specialist, you need strong attention to detail, proficiency in data analysis, and often a background in relevant fields such as computer science, linguistics, or related areas. Familiarity with data labeling platforms, annotation software, and sometimes specific machine learning tools or guidelines is typically required. Excellent time management, clear communication, and the ability to work independently are valuable soft skills in this role. These skills help ensure accurate data labeling, which is crucial for training high-quality AI models and maintaining project efficiency.

What are Per Diem Remote Data Annotation jobs?

Per Diem Remote Data Annotation jobs involve labeling, tagging, or categorizing data such as images, text, or audio on a flexible, as-needed (per diem) basis from a remote location. Workers in these roles help train machine learning models by providing accurate and consistent annotations. This type of job is ideal for individuals seeking flexible schedules, as work assignments are typically offered based on demand and availability. Per diem annotators are often paid per task or per hour, and the work can be done from home with a computer and internet connection.

What is the difference between Per Diem Remote Data Annotation vs Per Diem Remote Data Labeling?

AspectPer Diem Remote Data AnnotationPer Diem Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageTech, AI, machine learningTech, AI, machine learning
Job FocusAdding annotations to data (e.g., bounding boxes, segmentation)Assigning labels to data (e.g., categories, tags)

Both roles involve working remotely with similar credentials, but data annotation focuses on adding detailed markings to data, while data labeling involves categorizing data. Understanding these differences helps job seekers find the right position aligned with their skills and career goals.

How to make $1000 a week remote?

Per Diem Remote Data Annotation jobs typically pay per task or hourly, and earning $1000 weekly requires completing a high volume of accurate annotations consistently. Developing strong attention to detail, familiarity with annotation tools, and working efficiently can help increase earnings, but income varies based on workload, speed, and client pay rates.

What is the easiest WFH job to get?

Per Diem Remote Data Annotation jobs are often considered accessible entry-level work that can be done from home with minimal experience. These roles typically require basic computer skills and attention to detail, and they often offer flexible schedules, making them relatively easy to obtain compared to other remote positions.

What are the typical challenges faced by Per Diem Remote Data Annotation professionals, and how can they be addressed?

Per Diem Remote Data Annotation professionals often encounter challenges such as maintaining consistent annotation quality, managing fluctuating workloads, and staying up-to-date with changing annotation guidelines. Since the role is remote and per diem, clear communication with project managers and proactive time management are essential. Utilizing provided training materials, participating in quality assurance feedback sessions, and connecting with other annotators through team channels can help overcome these challenges and ensure high-quality, accurate work.
More about Per Diem Remote Data Annotation jobs
What cities are hiring for Per Diem Remote Data Annotation jobs? Cities with the most Per Diem Remote Data Annotation job openings:
What are the most commonly searched types of Remote Data Annotation jobs? The most popular types of Remote Data Annotation jobs are:
What states have the most Per Diem Remote Data Annotation jobs? States with the most job openings for Per Diem Remote Data Annotation jobs include:
What job categories do people searching Per Diem Remote Data Annotation jobs look for? The top searched job categories for Per Diem Remote Data Annotation jobs are:
Per Diem Remote Data Annotation jobs near you
Infographic showing various Per Diem Remote Data Annotation job openings in the United States as of June 2026, with employment types broken down into 8% As Needed, 88% Full Time, and 4% Temporary. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Python Full-Stack Engineer - AI Data & Infrastructure

Alignerr

Manhattan, NY • Remote

Other

This job post has expired today. Applications are no longer accepted.

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