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Data Annotation Project Manager Jobs in Lancaster, NY

ACV

Machine Learning Engineer III, Data

Buffalo, NY · On-site

$130K - $173K/yr

... selling and managing used vehicles with transparency and comprehensive insights that were once ... 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

... selling and managing used vehicles with transparency and comprehensive insights that were once ... Experience designing and maintaining visual data annotation pipelines and evaluation frameworks for ...

NBT Bank

Project Manager

Williamsville, NY

$84K - $112K/yr

... or data bases resulting from upgrades, mergers, or new applications. * 25% Develops and manages ... projects. * 5% Designs desired architecture and major processing components for selected ...

Encorus Group

Senior Project Manager

Depew, NY · On-site

$120K - $160K/yr

... and data center facilities. You will oversee all phases of project delivery, from business ... Manage projects with evolving or undefined scopes while developing execution strategies that align ...

Encorus Group

Senior Project Manager

Depew, NY · On-site

... and data center facilities. You will oversee all phases of project delivery, from business ... Manage projects with evolving or undefined scopes while developing execution strategies that align ...

Acara Solutions

Project Manager III

Buffalo, NY · On-site +1

$60/hr

Project Manager Location: Remote, NY Employment Type: Temp (18 months) Industry: Banking ... Manage the data delivery pipeline report on the status of the Snowflake build across the new ...

API Heat Transfer

Lead Project Manager

Buffalo, NY · On-site

Lead Project Manager Position Summary The Lead Project Manager is responsible for leading the ... data analysis and implementation of sustainable solutions · Ability to adapt quickly in a fast ...

API Heat Transfer

Lead Project Manager

Buffalo, NY · On-site

Lead Project Manager Position Summary The Lead Project Manager is responsible for leading the ... data analysis and implementation of sustainable solutions · Ability to adapt quickly in a fast ...

API Heat Transfer

Lead Project Manager

Buffalo, NY · On-site

Lead Project Manager Position Summary The Lead Project Manager is responsible for leading the ... data analysis and implementation of sustainable solutions · Ability to adapt quickly in a fast ...

Amteck, LLC

BMS Project Manager

Tonawanda, NY

Experience in mission-critical facilities like data centers is often a plus. * Technical Knowledge ... Proficiency in project management software (e.g., MS Project), MS Office Suite, and BMS software ...

Amteck, LLC

BMS/EPMS Project Manager

Tonawanda, NY

Experience in mission-critical facilities like data centers is often a plus. * Technical Knowledge ... Proficiency in project management software (e.g., MS Project), MS Office Suite, and BMS software ...

micro1 AI

AI Trainer - Microbiology Expert

Buffalo, NY · Remote

$70 - $90/hr

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

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All JobsData Annotation Project JobsData Annotation Project Manager JobsData Annotation Project Manager Jobs in Lancaster, NY

Data Annotation Project Manager information

See Lancaster, NY salary details

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How much do data annotation project manager jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data annotation project manager in Lancaster, NY is $55.14, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $64.52 per hour, depending on experience, location, and employer.

How much do data annotation project managers make?

Data annotation project managers typically earn between $60,000 and $100,000 annually, depending on experience, location, and company size. They oversee annotation teams, coordinate workflows, and ensure quality standards are met, often requiring familiarity with annotation tools and project management skills.

What are the key skills and qualifications needed to thrive as a data annotation project manager?

To thrive as a Data Annotation Project Manager, you need strong project management skills, a solid understanding of data annotation processes, and experience with quality assurance, often supported by a degree in a relevant field. Familiarity with annotation tools (like Labelbox or Supervisely), workflow management platforms, and sometimes agile or PMP certification is highly beneficial. Exceptional communication, attention to detail, and leadership abilities help you effectively coordinate teams and ensure project deliverables meet quality standards. These skills are essential for managing complex annotation projects efficiently, maintaining data integrity, and supporting successful machine learning outcomes.

What are some common challenges faced by data annotation project managers, and how can they be managed effectively?

One of the primary challenges Data Annotation Project Managers face is ensuring high-quality, consistent labeling across large and sometimes distributed annotation teams. Managing tight deadlines while maintaining annotation accuracy requires effective training, clear guidelines, and regular quality checks. Additionally, balancing communication between data scientists, clients, and annotators is crucial to align expectations and resolve ambiguities quickly. Successful managers often implement robust feedback loops, leverage annotation tools with built-in quality control features, and foster an open environment for continuous improvement.

What is the difference between Data Annotation Project Manager vs Data Labeling Specialist?

AspectData Annotation Project ManagerData Labeling Specialist
CredentialsTypically requires project management experience, certifications in data management or related fieldsOften requires basic technical skills, familiarity with labeling tools, sometimes certifications in data annotation
Work EnvironmentOversees teams, manages projects, coordinates workflows in office or remote settingsPerforms labeling tasks, often in a remote or on-site environment, focused on data tagging
Employer & Industry UsageUsed by tech companies, AI firms, and data service providers for managing annotation projectsEmployed within similar industries, focusing on executing labeling tasks under supervision

The main difference is that the Data Annotation Project Manager oversees and coordinates annotation projects, ensuring quality and deadlines, while the Data Labeling Specialist focuses on executing the labeling tasks themselves. Both roles are essential in the data annotation process but differ in responsibilities and scope.

What is a data annotation project manager?

A Data Annotation Project Manager is responsible for overseeing projects that involve labeling and categorizing data, such as images, text, or audio, to train machine learning models. They coordinate teams of annotators, manage project timelines, and ensure the quality and accuracy of the annotated data. This role often acts as a bridge between data scientists, clients, and annotation teams, ensuring project requirements are met efficiently and effectively.
What job categories do people searching Data Annotation Project Manager jobs in Lancaster, NY look for? The top searched job categories for Data Annotation Project Manager jobs in Lancaster, NY are:
What cities near Lancaster, NY are hiring for Data Annotation Project Manager jobs? Cities near Lancaster, NY with the most Data Annotation Project Manager job openings:
Data Annotation Project Manager jobs near you

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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