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Machine Learning Annotation Jobs (NOW HIRING)

Conduit

Machine Learning Engineer

San Francisco, CA · On-site

Conduit builds autonomous factories through a single data abstraction layer across every machine ... Experience with annotation platforms (Scale, Labelbox, V7, internal tools) and building automated ...

Tocaro Blue

Senior Machine Learning Engineer

Birmingham, AL · On-site

$130K - $162K/yr

... and annotation · Optimize and deploy models to resource-constrained edge hardware (CPU-only and ... machine learning and signal processing to real-world dynamic systems (graduate research counts if ...

Tocaro Blue

Staff Machine Learning Engineer

Birmingham, AL · On-site

$155K - $190K/yr

... and annotation · Optimize and deploy models to resource-constrained edge hardware (CPU-only and ... machine learning and signal processing to real-world dynamic systems (graduate research counts if ...

Tocaro Blue

Senior Machine Learning Engineer

Birmingham, AL · On-site

$130K - $162K/yr

As a Senior Machine Learning Engineer , you will build ML models for object detection, semantic ... and annotation • Optimize and deploy models to resource-constrained edge hardware (CPU-only and ...

Tocaro Blue

Staff Machine Learning Engineer

Birmingham, AL · On-site

$155K - $190K/yr

As a Staff Machine Learning Engineer , you will be the lead architect of Radar (and secondary EO/IR ... and annotation • Optimize and deploy models to resource-constrained edge hardware (CPU-only and ...

exacare ai

Machine Learning Engineer

New York, NY · On-site

Improve data processing , annotation workflows , and ML system efficiency * Deploy and maintain the ... Proven (3+ years) of experience in machine learning engineering, MLOps, ML infrastructure, data ...

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Machine Learning Annotation information

See salary details

$25.5K

$42.6K

$88K

How much do machine learning annotation jobs pay per year?

As of Sep 8, 2026, the average yearly pay for machine learning annotation in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

Can I do data annotation with no experience?

Machine Learning Annotation roles often do not require prior experience, as training is typically provided. Basic skills in attention to detail and familiarity with annotation tools are helpful, and some positions may require completing a short onboarding or certification process. Entry-level annotation jobs are suitable for beginners willing to learn on the job.

How to become a machine learning annotation?

To become a machine learning annotation worker, you typically need strong attention to detail, basic computer skills, and familiarity with annotation tools or platforms. Some roles may require a high school diploma or equivalent, and training is often provided by employers. Developing skills in data labeling, understanding of data types, and consistency are important for success in this field.

What other helpful pages are available for Machine Learning Annotation?

Other pages related to Machine Learning Annotation:

Infographic showing various Machine Learning Annotation job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Senior Machine Learning Data Curation Engineer

Santa Clara, CA • On-site

XPENG
See more jobs at XPENGexternal

$134K - $161K/yr

Full-time

Re-posted 19 days ago

Job description

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
We are seeking a Machine Learning Data Curation Engineer to spearhead the data pipeline development and dataset management for our core AI initiatives. You will bridge the gap between raw data and robust, high-performance machine learning models by designing intelligent tools for data collection, cleaning, and annotation.
Key Responsibilities:
  • Dataset Lifecycle Management: Oversee the collection, organizing, cleaning, and maintenance of large-scale, high-quality datasets for model training.
  • Pipeline Development: Build and maintain scalable data processing pipelines and automated intelligent agents to continuously ingest, clean, and enrich training data.
  • Quality & Benchmarking: Define, track, and optimize dataset quality metrics (e.g., diversity, absence of bias) to directly improve ML model performance.
  • Annotation & Labeling: Design and manage data annotation workflows, collaborating with domain experts to ensure clear, accurate classification protocols.
  • Governance & Compliance: Maintain data provenance, ensure compliance with data governance policies (e.g., GDPR, HIPAA if applicable), and enforce data security measures.

Qualifications:
  • Education: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a highly quantitative field.
  • Technical Skills:
    • Proficiency in programming languages like Python or SQL.
    • Experience with Big Data tools and cloud platforms (e.g., AWS, GCP, BigQuery).
    • Familiarity with ML frameworks (e.g., PyTorch, Hugging Face).
  • Experience: 3+ years managing large-scale datasets, developing data curation heuristics, and working alongside ML researchers or data scientists.
  • Analytical Mindset: Strong problem-solving skills to identify data quality anomalies, address model biases, and establish evaluation frameworks.

What do we provide:
  • A fun, supportive and engaging environment.
  • Infrastructures and computational resources to support your work.
  • Opportunity to work on cutting edge technologies with the top talents in the field.
  • Opportunity to make a significant impact on the transportation revolution by the means of advancing autonomous driving.
  • Competitive compensation package.
  • Snacks, lunches, dinners, and fun activities.

The base salary range for this full-time position is $174,720 - $295,680, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

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