Data literacy – Who Needs Engineers https://whoneedsengineers.com/wne_live Software Engineering Recruitment Tue, 08 Oct 2024 05:20:02 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.2 https://whoneedsengineers.com/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.png Data literacy – Who Needs Engineers https://whoneedsengineers.com/wne_live 32 32 Data Annotator – General Knowledge (Remote) https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/data-annotator-general-knowledge-remote/ Tue, 08 Oct 2024 05:20:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/data-annotator-general-knowledge-remote/ Data Annotator – General Knowledge (Remote)

Job Description:

    Join our innovative team as a Data Annotator, where you will play a pivotal role in the development of AI technologies. This remote position offers you the chance to work flexibly, dedicating between ten to forty hours per week. Your primary responsibility will be to meticulously annotate and curate multimodal data, such as text and images, to ensure the highest quality for training AI models. In addition, you will have the opportunity to create educational content, including multiple-choice questions, which are essential for AI learning processes. Your contributions will directly influence the efficiency and accuracy of AI systems. You will also be involved in quality assurance tasks, reviewing your work and ensuring adherence to project guidelines. This role is perfect for detail-oriented individuals who are passionate about technology and eager to contribute to the future of AI.

IT Languages:

  • Python
  • Java
  • SQL

As a Data Annotator, you will engage in various tasks that are critical to the success of AI model training.:

    Accurately label and tag multimodal data including text and images according to project specifications;; Generate high-quality multiple-choice questions and other educational content for AI training;; Conduct quality assurance reviews to verify annotation accuracy and consistency

Spoken Languages:

  • English;; German

Skillset:

  • Data annotation
  • Quality assurance
  • Content generation
  • Data literacy

Soft Skills:

  • Attention to detail
  • Self-motivation
  • Effective time management
  • Strong communication skills

Qualifications:

  • Basic understanding of college-level mathematics
  • Strong proficiency in English for clear communication
  • Experience with data processing

Years of Experience:

    2

Location:

    United States

Job Benefits:

  • Flexible working hours
  • Competitive pay with performance incentives
  • Remote work from any location
  • Opportunity to collaborate with AI research teams

Working Conditions:

    Remote

Employment Type:

    Permanent Contract

Company Culture:

  • We foster an inclusive and innovative working environment that encourages collaboration and professional growth. Our team is dedicated to pushing the boundaries of AI technology while valuing the contributions of each member.

Opportunities For Advancement:

  • Potential for increased pay based on performance, Opportunities for skill development and training in AI technologies, Possibility of transitioning to more advanced roles within the company

Visa Sponsorship:

    Not Available
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Data Annotator – STEM (Remote) https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/data-annotator-stem-remote/ Mon, 07 Oct 2024 18:00:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/data-annotator-stem-remote/ Data Annotator – STEM (Remote)

Job Description:

    Join our innovative team as a Data Annotator specializing in STEM fields, where you will play a crucial role in the development of AI technologies. This remote position allows you the flexibility to work between ten to forty hours a week, providing a unique opportunity to contribute to the evolving landscape of artificial intelligence. Your primary responsibility will involve annotating and curating large datasets for various AI applications, ensuring that the data used for training, tuning, and evaluating models is of the highest quality. You will engage in various tasks such as labeling images, tagging text, and generating educational content, all while collaborating with a team that values precision and attention to detail. This position not only enables you to apply your academic knowledge but also allows for the potential to earn competitive rates based on your expertise and the complexity of the projects you undertake.

IT Languages:

  • Python
  • Java
  • R

Your role will encompass various tasks related to data annotation, ensuring the quality and accuracy of the datasets used in AI training.:

    Labeling and tagging multimodal data including images and text according to specific guidelines.;; Generating high-quality multiple-choice questions for educational purposes or AI training.;; Conducting quality assurance reviews to verify the consistency and correctness of annotations across datasets.

Spoken Languages:

  • English

Skillset:

  • Data annotation
  • Quality assurance
  • Technical writing
  • Data literacy

Soft Skills:

  • Attention to detail
  • Self-motivation
  • Time management
  • Effective communication

Qualifications:

  • Degree in Mathematics
  • Degree in Physics
  • Degree in Chemistry
  • Degree in Engineering
  • Degree in Biology
  • Degree in Music
  • Degree in Medicine

Years of Experience:

    1

Location:

    United States

Job Benefits:

  • Competitive pay
  • Flexible working hours
  • Remote work opportunities
  • Chance to work with leading AI/ML research teams

Working Conditions:

    Remote

Employment Type:

    Contract

Company Culture:

  • We foster an environment of innovation and collaboration, where every team member's contribution is valued. Our culture promotes flexibility and empowers individuals to take initiative in their work. We are committed to advancing AI technologies and encourage continuous learning and professional growth.

Opportunities For Advancement:

  • Skill development in AI technologies, Potential for higher pay with experience, Opportunities to work on diverse projects

Visa Sponsorship:

    Not Available
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