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Remote Data Curation Jobs in Nevada (NOW HIRING)

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Remote Data Curation information

What does a data curator do?

A data curator is responsible for organizing, maintaining, and ensuring the quality of data within a database or dataset. They review, clean, and categorize data to make it accessible and useful for analysis, often using tools like spreadsheets or data management software. This role requires attention to detail and knowledge of data standards and best practices.

Do curators make a lot of money?

Remote data curation roles typically offer salaries that are competitive within the data management field, with pay varying based on experience, skills, and industry. Entry-level positions may start lower, while experienced data curators with specialized knowledge can earn higher wages, often supplemented by benefits and flexible schedules.

What is remote data curation?

Remote data curation involves organizing, managing, and maintaining data sets from a remote location, ensuring their accuracy, quality, and usability for various purposes. Data curators work with digital information, often cleaning, annotating, and structuring data to make it more accessible and valuable for organizations or research. This role can include tasks like verifying data integrity, standardizing formats, and documenting metadata, all performed using online tools and collaboration platforms. Remote data curation allows professionals to work from anywhere, supporting projects in fields such as science, business, or technology.

Is it possible to get a remote job as a data analyst?

Yes, remote data analyst positions are widely available and often require skills in data visualization, SQL, and statistical analysis. Many companies offer remote work options, and candidates typically need a relevant degree or certification and proficiency with tools like Excel, Tableau, or Python. Remote roles may also require strong communication skills and self-discipline to manage tasks independently.

What are some common challenges faced in a remote data curation role, and how can they be addressed?

One common challenge in remote data curation is ensuring consistent data quality and integrity across distributed teams. Without in-person collaboration, communication gaps can arise, making it important to use clear documentation practices and regular virtual check-ins. Additionally, remote curators often need to be proactive in seeking clarification and feedback to avoid misinterpretation of data standards. Leveraging collaborative tools and maintaining open communication channels can significantly help in overcoming these hurdles and maintaining workflow efficiency.

What is the difference between Remote Data Curation vs Remote Data Entry?

AspectRemote Data CurationRemote Data Entry
Primary FocusAnalyzing, organizing, and maintaining data quality and relevanceInputting and updating data into systems
Required SkillsData analysis, critical thinking, attention to detailTyping accuracy, basic computer skills
Work EnvironmentCollaborative, often involves research and validationIndividual, repetitive tasks
Common CertificationsData management, database certificationsNone typically required

Remote Data Curation involves managing and improving data quality through analysis and organization, while Remote Data Entry focuses on inputting data accurately into systems. Both roles require attention to detail, but data curation demands analytical skills and a deeper understanding of data relevance, making it more complex and strategic compared to the straightforward nature of data entry tasks.

What are the key skills and qualifications needed to thrive as a Remote Data Curator, and why are they important?

To thrive as a Remote Data Curator, you need strong analytical abilities, attention to detail, and a background in information science, data management, or a related field. Familiarity with database systems, data cleaning tools (such as OpenRefine), and metadata standards is typically required, along with experience using collaborative platforms. Excellent communication, organizational skills, and the ability to work independently are crucial soft skills in this remote role. These skills ensure the accuracy, accessibility, and integrity of large datasets, supporting effective data-driven decision-making for organizations.

How much does a data curator make?

Data curators typically earn between $50,000 and $80,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced professionals with specialized skills or certifications can earn higher salaries, especially in tech or research environments.
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Remote Data Curation jobs near you
Principal Technical Lead Manager - AI Data Applications

Principal Technical Lead Manager - AI Data Applications

Motional

Las Vegas, NV • On-site, Remote

Other

Posted 9 days ago

Job description

Mission Summary:

We are seeking an experienced and visionary Principal Technical Lead Manager to build and lead our new AI Data Application team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating our ML dataset generation and data search applications. The ultimate goal is to drastically reduce the development cycle for new pipelines, ML models and get us operationally prepared for a driverless future!
You will be a hands-on leader, blending deep technical expertise in data systems and infrastructure with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvements.

What You'll Be Doing:

  • Team Leadership & Management:
    • Build, lead, and manage a high-performing team of full stack web engineers. 
    • Define team goals, priorities, and roadmap in alignment with company objectives.
    • Provide technical guidance, mentorship, and career development opportunities to team members.
  • Technical Strategy & Execution:
    • Define the technical vision and strategy for building services and web platforms for storing and searching metadata and forming datasets.
    • Define AI adoption strategy for frontend codebase and UX projects to speed up development and time to market.
    • Identify and evaluate cutting-edge technologies and methodologies for querying through datasets stored in various types of databases (think images in vector store, metadata in Postgres, etc) and APIs owned by several teams across the company. 
  • Cross-functional Collaboration:
    • Collaborate closely with data mining, ML researchers, and other data platform teams to understand their needs and integrate solutions seamlessly.
    • Communicate complex technical concepts and strategies to both technical and non-technical stakeholders.

What We're Looking For:

  • Experience:
    • BS or MS in Computer Science or related field
    • 8+ years of professional experience in building web applications 
    • 3+ years of experience in a technical lead or management role
    • Extensive experience with building web applications for search and data curation needs.
    • Extensive experience with API and query federation technologies such as GraphQL or AWS Athena. 
  • Technical Skills:
    • Strong programming skills in Typescript and Python.
    • Strong knowledge of modern frontend technologies such React.
    • Strong knowledge of building REST and gRPC based services, ideally in Python. 
    • Prior experience with building web applications for engineering or machine learning needs

Bonus Points (not required): 

  • Prior experience in autonomous vehicles (AV) is a plus.
  • Prior experience with Bazel based build systems.
  • Prior experience with developing frontend workflows using LLMs.

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

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