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Night Shift Remote Data Annotation Jobs in Missouri

University of Rochester

$27.16 - $38.03/hr

Regular Time Type: Full time Scheduled Weekly Hours: 40 Department: 100905 CIRC Work Shift: UR ... Provides remote and hands-on support for clients with excellent customer service skills. Provides ...

Alteryx

Alteryx Digital Representative

Louisiana, MO · On-site +1

$120K - $150K/yr

... shift in how work gets done. Data, automation, and AI are quickly becoming the center of every ... A monthly Connectivity Plus stipend of $150 to support remote work-related expenses * An annual ...

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Night Shift Remote Data Annotation information

What is a night shift remote data annotation?

A night shift remote data annotation job involves labeling or tagging data, such as images, text, or audio, to help train machine learning models. The work is performed from home or another remote location during nighttime hours, which can be ideal for those needing flexible schedules or working in different time zones. Data annotators use specific guidelines and tools to ensure accuracy and consistency. This job typically requires attention to detail, basic computer skills, and the ability to follow instructions closely.

What are the key skills and qualifications needed to thrive as a night shift remote data annotation specialist?

To thrive as a Night Shift Remote Data Annotation Specialist, you need strong attention to detail, accuracy, and the ability to work independently, often supported by a high school diploma or equivalent. Familiarity with data labeling tools, annotation software, and basic computer systems is typically required, and experience with platforms like Labelbox or CVAT is beneficial. Excellent time management, self-motivation, and reliable communication skills help you excel in a remote and asynchronous work environment. These skills are crucial to ensure high-quality, consistent data output that directly impacts the effectiveness of machine learning and AI projects.

What are some common challenges faced by night shift remote data annotation professionals, and how can they be managed?

Night shift remote data annotation professionals often encounter challenges such as maintaining focus during late hours, managing fatigue, and staying motivated while working independently. To address these issues, it's helpful to establish a consistent sleep schedule, create a well-lit and organized workspace, and take regular breaks to reduce eye strain and maintain productivity. Additionally, staying connected with team members through scheduled check-ins or chat platforms can help reduce feelings of isolation and foster collaboration, ensuring high-quality annotation work.

What is the difference between Night Shift Remote Data Annotation vs Night Shift Remote Data Labeling?

AspectNight Shift Remote Data AnnotationNight Shift Remote Data Labeling
Primary TaskAdding detailed annotations to datasets, such as bounding boxes or polygonsAssigning labels or categories to data points, often simpler tags
Required SkillsAttention to detail, basic understanding of annotation toolsUnderstanding of categories, quick decision-making
Work EnvironmentRemote, night shift, often part-time or freelanceRemote, night shift, similar flexible hours
Industry UsageUsed in computer vision, autonomous vehicles, AI trainingUsed in machine learning, data categorization tasks

Both roles are remote, night shift positions in AI data processing. Data annotation involves detailed marking of data, while data labeling focuses on categorizing data points. The choice depends on the complexity of tasks and required skills, but both are essential in AI training pipelines.

What is the average salary for night shift remote data annotation jobs?

The average salary for night shift remote data annotation jobs typically ranges from $12 to $20 per hour, depending on experience, company, and location. These roles often require attention to detail and familiarity with annotation tools, with some positions offering additional incentives for night shifts.

What are the most commonly searched types of Shift Remote Data Annotation jobs in Missouri?

The most popular types of Shift Remote Data Annotation jobs in Missouri are:

What are popular job titles related to Night Shift Remote Data Annotation jobs in Missouri?

For Night Shift Remote Data Annotation jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Night Shift Remote Data Annotation jobs in Missouri look for?

The top searched job categories for Night Shift Remote Data Annotation jobs in Missouri are:

What cities in Missouri are hiring for Night Shift Remote Data Annotation jobs?

Cities in Missouri with the most Night Shift Remote Data Annotation job openings:

Night Shift Remote Data Annotation jobs near you

Application Developer II

McCarthy Holdings, Inc.

Saint Louis, MO • On-site, Remote

Full-time

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

Job description

POSITION SUMMARY

McCarthy is seeking a full-time Application Developer located in St. Lous, MO who as part of the Enterprise Solutions and Analytics team, will play a crucial role in building our application and integration portfolio, supporting our existing systems and driving innovation following modern DevSecOps practices.

RESPONSIBILITIESSolution Design and Development
  • Design and develop integration solutions by applying best practices and standard patterns in data model design, data transfer and event-based processing. Leverage integration capabilities such as Rest APIs, message queues and remote process execution in developing solutions. Implement solutions that process both structured and unstructured data (images, videos, model files etc.).
  • Design and develop custom applications on AI platform Palantir, integrating them into McCarthy’s ecosystem of applications.
  • Develop solutions for maximum reusability, using components available in enterprise applications and platforms. Promote modular approach in solution design and development. Maintain a robust integration application and integration environment to promote long-term flexibility and growth.
  • Support the procurement of new applications and platforms by evaluating technical capabilities and providing insight. 
Support and Administration
  • Provide technical support and guidance for efficient and effective resolution of issues. Respond to queries from application teams in a timely manner to reduce disruption to end users.
Security
  • Ensure integration and application solutions follow McCarthy’s security practices and guidelines.
  • Enforce input validation and output encoding, avoid hardcoded secrets and credentials, apply least privilege logic in API and service interactions, use strong modern cryptography, sanitize logs, and perform threat modeling early and regularly.
  • Adhere to and promote a shift-left security mindset for pipeline, secrets management and supply chain functions. 
Project Execution, Task Management
  • Follow best practices and support organizational effort in managing projects and tasks effectively. Demonstrate an agile mindset in planning and execution of tasks.
Continuous Learning and Improvement
  • Constantly seek to improve current solutions. Identify opportunities to improve performance, automate workflows and improve end-user experience.
  • Keep up with the latest on tools and platforms by attending vendor events and leveraging learning opportunities.   
Internal Relationship Management
  • Develop strong partnerships with internal IT staff to ensure solutions address McCarthy’s needs effectively and requests are addressed in a timely and effective manner. Work closely with business system analysts and product owners in understanding requirements and building solutions that implement user stories effectively.
QUALIFICATIONS
  • Minimum 3 years of experience with an enterprise iPaas (integration platform as a service) such as Boomi, Mulesoft or Snaplogic. Boomi experience would be preferable.  
  • Strong knowledge of database capabilities and API-driven integration frameworks. Strong knowledge of SQL.  Solid understanding of data formats including JSON and XML.
  • Experience developing solutions on an AI platform such as Palantir is a plus.
  • 3 – 5 years of application development experience on a modern stack (e.g., .NET 6+/C#, Node.js/TypeScript, Python, Ruby — Ruby on Rails/Sinatra/ActiveRecord) building RESTful services, event-driven components, and CI/CD-backed deployments; familiarity with containers and cloud services is a plus.
  • Working knowledge of DevSecOps practices and tools (DAST/SAST/SCA/secrets scanning) and severity-based remediation workflows in CI/CD.  Examples of tools include Checkmarx, OWASP, GitHub, Snyk, Terrasan and Terraform 
  • Practical experience with secure file transfer (SFTP), key management, and PGP encryption in automated pipelines.
  • Knowledge of cloud platforms such as AWS, Azure and Microsoft Office 365. 
  • Experience working on projects using an Agile approach and the Scrum framework.
  • Constant learner with a passion for continuous growth and improvement.
  • Strong interpersonal and communication skills. Strong team player with a collaborative mindset.


McCarthy is proud to be an equal opportunity employer, including disability and protected veteran status.
NOTICE TO EXTERNAL SEARCH FIRMS: McCarthy’s Talent Acquisition Team is the only authorized representative permitted to engage with external search firms, staffing agencies, or other third-party recruiting partners. McCarthy maintains an Approved Agency List for recruiting partners, which is reviewed and updated annually.
McCarthy will only consider submissions from agencies with a signed fee agreement in place for the current year. McCarthy does not accept unsolicited resumes, candidate submissions, or referrals from agencies that do not meet these requirements.
If a candidate is submitted without an active agreement, McCarthy will have no obligation to pay any fees and reserves the right to contact, engage, interview, or hire such candidate(s) without any financial or other responsibility to the submitting agency. Unsolicited resumes, including those sent directly to hiring managers or other employees, will be considered the property of McCarthy.