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Seasonal Online Data Annotation Jobs (NOW HIRING)

ACV

Machine Learning Engineer III, Data

Buffalo, NY · On-site

$130K - $173K/yr

ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are ... Experience designing and maintaining visual data annotation pipelines and evaluation frameworks for ...

ACV

Machine Learning Engineer IV, Data

Buffalo, NY · On-site

$140K - $180K/yr

ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are ... Experience designing and maintaining visual data annotation pipelines and evaluation frameworks for ...

ACV Auctions

Machine Learning Engineer III, Data

Buffalo, NY · On-site

$110 - $140/hr

Who we are ACV is a technology company that has revolutionized how dealers buy and sell cars online ... Experience designing and maintaining visual data annotation pipelines and evaluation frameworks for ...

The Pennsylvania State University

$19 - $26/hr

Data Annotation & Landscape Analysis * Annotating drone orthophotos using semantic segmentation ... If you are unable to use our online application process due to an impairment or disability, please ...

Penn State University

Research Assistant

University Park, PA · On-site

$18.75 - $26/hr

Data Annotation & Landscape Analysis * Annotating drone orthophotos using semantic segmentation ... If you are unable to use our online application process due to an impairment or disability, please ...

Alice

Freelancer - GenAI Experts

New York, NY · Remote

Support data annotation, curation, and quality control processes * Summarize findings into ... Research online behaviors of threat actors to inform realistic prompt design * Cover multiple ...

Alice

Freelancer - GenAI Experts

New York, NY · On-site +1

Support data annotation, curation, and quality control processes * Summarize findings into ... Research online behaviors of threat actors to inform realistic prompt design * Cover multiple ...

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Seasonal Online Data Annotation information

What is the difference between Seasonal Online Data Annotation vs Data Labeling Specialist?

AspectSeasonal Online Data AnnotationData Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar, often no formal certification required
Work EnvironmentRemote, flexible hours during peak seasonsRemote or on-site, consistent work environment
Industry UsageUsed mainly in AI training for seasonal projectsUsed broadly across AI, machine learning, and data science
Search & Comparison IntentUnderstanding seasonal data annotation rolesUnderstanding general data labeling roles

Seasonal Online Data Annotation involves temporary, project-based tasks focused on annotating data for specific seasonal AI applications. Data Labeling Specialists perform ongoing data annotation tasks across various projects. While both roles require attention to detail and similar skills, Seasonal Online Data Annotation is typically temporary and project-specific, whereas Data Labeling Specialists often have more consistent, long-term roles.

What are some common challenges faced in a seasonal online data annotation role, and how can I prepare for them?

One of the main challenges in a Seasonal Online Data Annotation role is maintaining consistent accuracy and attention to detail over long periods of repetitive work. Deadlines can be tight, especially during peak project periods, making time management crucial. Additionally, guidelines for annotation tasks may change or require frequent clarification, so adaptability and clear communication with supervisors are important. To prepare, familiarize yourself with annotation tools, practice following detailed instructions, and develop strategies to stay focused and motivated during repetitive tasks.

What are the key skills and qualifications needed to thrive as a seasonal online data annotation specialist?

A strong attention to detail, proficiency in data entry, and basic computer literacy are essential for success as a Seasonal Online Data Annotation specialist, typically requiring at least a high school diploma. Familiarity with annotation platforms, spreadsheets, and quality assurance tools is often expected. Excellent time management, adaptability, and communication skills help individuals work efficiently and collaborate remotely. These abilities ensure high-quality, accurate data labeling that directly impacts machine learning and AI model performance.

What is a seasonal online data annotation job?

Seasonal online data annotation jobs involve labeling or categorizing data—such as images, text, or audio—for machine learning purposes during specific peak periods. These roles are typically temporary and align with times of increased demand, such as during product launches or holidays. Data annotators work remotely to identify and tag relevant features in datasets, helping companies train and improve AI systems. No advanced technical skills are usually required, but attention to detail and reliability are important. Many companies hire seasonal annotators to quickly scale up their data processing capabilities for short-term projects.
More about Seasonal Online Data Annotation jobs
What cities are hiring for Seasonal Online Data Annotation jobs? Cities with the most Seasonal Online Data Annotation job openings:
What are the most commonly searched types of Seasonal Data Annotation jobs? The most popular types of Seasonal Data Annotation jobs are:
What states have the most Seasonal Online Data Annotation jobs? States with the most job openings for Seasonal Online Data Annotation jobs include:
What job categories do people searching Seasonal Online Data Annotation jobs look for? The top searched job categories for Seasonal Online Data Annotation jobs are:
Seasonal Online Data Annotation jobs near you
Infographic showing various Seasonal Online Data Annotation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Machine Learning Engineer III, Data

ACV

Buffalo, NY • On-site

$130K - $173K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Job description

If you are looking for a career at a dynamic company with a people-first mindset and a deep culture of growth and autonomy, ACV is the right place for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. We will continue to raise the bar every day by investing in our people and technology to help our customers succeed. We hire people who share our passion, bring innovative ideas to the table, and enjoy a collaborative atmosphere.
Who we are:
ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Auctions Inc. (ACV), has applied innovation and user-designed, data driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions for sourcing, selling and managing used vehicles with transparency and comprehensive insights that were once unimaginable. We are disruptors of the industry and we want you to join us on our journey. Our network of brands include ACV Auctions, ACV Transportation, ClearCar, MAX Digital and ACV Capital within its Marketplace Products, as well as, True360 and Data Services.
At ACV we focus on the Health, Physical, Financial, Social and Emotional Wellness of our Teammates and, to support this, we offer:
  • Multiple medical plans including a high deductible, low cost health plan
  • Company-sponsored (paid) Short-Term Disability, Long-Term Disability, and Life Insurance
  • Comprehensive optional benefits such as Dental, Vision, Supplemental Life/AD&D, Legal/ID Protection, and Accident and Critical Illness Insurance
  • Generous paid time off options, including uncapped vacation days, the greater of 3 paid sick days or in accordance with the applicable state or local paid sick leave law, 6 paid company holidays, 2 floating holidays, parental leave, bereavement leave, jury duty leave, voting leave, and other forms of paid leave as required by applicable law or regulation
  • Employee Stock Purchase Program with additional opportunities to earn stock in the Company
  • Retirement planning through the Company's 401(k)

What you will do:
ACV's Machine Learning organization is looking for a talented Machine Learning Engineer III to join our ML inspection team. In this role, you'll drive end-to-end computer vision solutions processing hundreds of thousands of vehicle inspections annually into reliable, actionable insights, directly reducing inspection turnaround time, improving valuation accuracy, and scaling the capabilities of our inspection platform. You'll design and train damage detection models while architecting the high-throughput serving infrastructure needed to keep those models performant under real production loads. As ACV continues to grow, you'll play a direct role in ensuring our inspection capabilities remain accurate, efficient, and resilient at scale.
This role goes beyond executing on a defined roadmap. You'll identify opportunities, shape solutions end-to-end, and take ownership of outcomes. You connect the dots between stakeholder needs and what's technically feasible, bringing recommendations grounded in both theory and practical constraints. When you hear a narrow question, you think about the broader system it lives in and build toward that.
The core responsibilities of this role are:
  • Design and train high-performance computer vision models for automated damage detection, focusing on precision, recall, and model robustness.
  • Architect and maintain high-throughput, containerized microservices for model serving using REST/gRPC to ensure low-latency performance.
  • Collaborate with business stakeholders to translate complex inspection requirements into scalable, production-grade ML solutions.
  • Own the end-to-end model lifecycle, from experimentation and design to deployment and optimization in high-traffic environments.
  • Design and maintain robust data pipelines using Kafka to ensure high-fidelity inputs for model serving and inference.
  • Perform additional duties as assigned.

Required Qualifications:
  • Graduate education (MS or PhD) in a computationally intensive domain or equivalent work experience.
  • 3+ years of prior computer vision experience
  • Advanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Python/SQL.
  • Experience designing and maintaining visual data annotation pipelines and evaluation frameworks for complex, real-world image datasets.
  • Experience optimizing high-latency models for real-time inference
  • Backend software engineering experience in the cloud (AWS / GCP) with a focus on microservices (docker) and the ML model development lifecycle.
  • Experience building and maintaining streaming data pipelines (e.g., Kafka) for real-time model serving.

Preferred Qualifications:
  • Knowledge of ML frameworks and libraries, such as Kubeflow, Databricks, KServe and so on
  • Experience designing evaluation frameworks for complex visual data

#LI-AM3
Our Values
Trust & Transparency | People First | Positive Experiences | Calm Persistence | Never Settling
At ACV, we are committed to an inclusive culture in which every individual is welcomed and empowered to celebrate their true selves. We achieve this by fostering a work environment of acceptance and understanding that is free from discrimination. ACV is committed to being an equal opportunity employer regardless of sex, race, creed, color, religion, marital status, national origin, age, pregnancy, sexual orientation, gender, gender identity, gender expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires reasonable accommodation, please let us know.
For information on our collection and use of your personal information, please see our Privacy Notice.
No immigration or work visa sponsorship provided for this position.
Compensation: The compensation range for this position is listed in the "Job Details" section at the bottom of this posting. Please note that final compensation will be determined based upon the applicant's relevant experience, skill set, location, business needs, market demands, and other factors as permitted by law.

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