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2Nd Shift Data Annotation Jobs (NOW HIRING)

Bot Auto

Data Annotation Specialist

Houston, TX · On-site

... shift. * Professionalism: High degree of self-discipline and the ability to work independently ... Prior experience in data annotation for autonomous driving, robotics, or computer vision.

Bot Auto

Data Annotation Specialist

Houston, TX · On-site

... shift. * Professionalism: High degree of self-discipline and the ability to work independently ... Prior experience in data annotation for autonomous driving, robotics, or computer vision.

Comrise

CA · On-site

$26 - $29/wk

Shift: 1st Shift with overtime as necessary. * Relocation: Relocation packages available for out-of-area candidates. * Time Off: 80 hours of PTO (with annual increases) and 9 paid Holidays annually.

Eaton

Material Handler - 2nd Shift Data Comm

Reno, NV · On-site

$22.73/hr

Eaton's ES GEIS BLD division is currently seeking a Material Handler - 2nd Shift Data Comm at our Reno, NV facility! The hourly rate for this position is $22.73 + .50 Shift Differential per hour.

oakhill

Second Shift Supervisor

Meriden, CT

The Second Shift Supervisor for Gilead's Meriden adult program works 40 hours: Monday-Friday 3p-11p ... Ensures program compliance through the timely and accurate reporting of data both internally and ...

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2Nd Shift Data Annotation information

What is a 2nd Shift Data Annotation job?

A 2nd Shift Data Annotation job involves labeling and categorizing data, such as images, audio, or text, to help train artificial intelligence and machine learning models. The '2nd shift' typically refers to working hours in the late afternoon to evening, often from around 3 PM to 11 PM. Data annotators play a crucial role in ensuring the accuracy and quality of data used for machine learning. This work can be detail-oriented and may be performed remotely or in an office setting.

What are the key skills and qualifications needed to thrive as a 2nd Shift Data Annotation Specialist, and why are they important?

To thrive as a 2nd Shift Data Annotation Specialist, you need attention to detail, strong analytical skills, and familiarity with data labeling processes, often supported by a high school diploma or equivalent. Proficiency in annotation platforms, basic computer operations, and sometimes specialized tools like image or audio tagging software is typically required. Reliability, time management, and the ability to work independently during non-standard hours are crucial soft skills for this role. These skills ensure accurate data labeling, efficient workflow, and consistent quality in supporting machine learning projects.

What is the difference between 2Nd Shift Data Annotation vs Data Labeler?

Aspect2Nd Shift Data AnnotationData Labeler
CredentialsHigh school diploma or equivalent, basic computer skillsHigh school diploma or equivalent, attention to detail
Work EnvironmentData centers, offices, or remote settings during evening/night hoursOffices or remote, often during daytime hours
Industry UsageTech, AI, machine learning companiesAI, autonomous vehicles, tech industries
Job FocusAnnotating data during second shift hoursLabeling data for machine learning models

Both roles involve data annotation and are common in AI and machine learning industries. The main difference lies in shift timing, with 2Nd Shift Data Annotation working during evening or night hours, while Data Labelers typically work during regular daytime hours. The skills and industry usage are similar, making them closely related roles in data preparation for AI applications.

What are some common challenges faced by 2nd Shift Data Annotation professionals and how can they be addressed?

Working the 2nd shift in data annotation often involves adjusting to a non-traditional work schedule, which can impact work-life balance and communication with daytime teams. Additionally, maintaining focus and accuracy during extended periods of repetitive tasks is essential, as data quality directly affects machine learning outcomes. To address these challenges, it's helpful to establish a consistent routine, leverage communication tools for asynchronous updates with colleagues, and take regular breaks to maintain accuracy and prevent fatigue.
What cities are hiring for 2Nd Shift Data Annotation jobs? Cities with the most 2Nd Shift Data Annotation job openings:
What are the most commonly searched types of Data Annotation jobs? The most popular types of Data Annotation jobs are:
What states have the most 2Nd Shift Data Annotation jobs? States with the most job openings for 2Nd Shift Data Annotation jobs include:
2Nd Shift Data Annotation jobs near you
Atlas Data Operations Annotation Manager

Atlas Data Operations Annotation Manager

Boston Dynamics

Waltham, MA • On-site

$115K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

Job description

Boston Dynamics is a world leader in mobile robots, tackling some of the toughest robotics challenges. We combine the principles of dynamic control and balance with sophisticated mechanical designs, cutting-edge electronics, and next-generation software for high-performance robots equipped with perception, navigation, and intelligence.
The Atlas team is focused on advancing machine learning and manipulation capabilities. We are seeking an Annotation Manager to own data quality and annotation operations for Atlas - setting standards, leading the team, and managing the vendor relationships that produce the training data behind Atlas's AI systems. This role spans software quality assurance, data quality strategy, and hands-on operational leadership, and reports to the Atlas Data Operations Associate Director.
Schedule/Working Hours:
  • Monday - Friday: 40 hours per week, regular hours (e.g., 9 AM to 6 PM, with flexibility across both first and second shift as required).

Responsibilities:
Team Leadership & Performance
  • Directly manage a team of Annotation Leads and Annotation QA Leads, providing day-to-day direction, prioritization, coaching, and performance feedback.
  • Serve as the Atlas working team lead for third-party annotation vendors, managing task allocation, performance accountability, and dual-source relationships to optimize cost, quality, and speed.

Annotation Quality & Operations
  • Own data quality end-to-end - defining standards, QA methodologies, and metrics (accuracy, consistency, rework rates, guideline adherence) - and serve as the primary escalation point for edge cases and labeling ambiguities.
  • Write SOPs and technical documentation for the annotation team and vendors; forecast annotation needs across Atlas engineering stakeholders and drive continuous improvement across tooling, workflows, and guidelines.

Required Skills & Experience:
  • Bachelor's degree in a technical field, data science, or cognitive science preferred; proven experience managing teams in a data annotation, data quality, or machine learning data pipeline environment preferred.
  • Prior experience managing business/contractual relations between third-party annotation vendors/labelling service or BPO service providers strongly preferred. Familiarity with ML data pipelines preferred. Exceptional organizational and communication skills required.

The base pay range for this position is between $115,000 to $140,000 annually. Base pay will depend on multiple individualized factors including, but not limited to internal equity, job related knowledge, skills and experience. This range represents a good faith estimate of compensation at the time of posting. Boston Dynamics offers a generous Benefits package including medical, dental vision, 401(k), paid time off and an annual bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer for employment.

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