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Data Annotator - STEM (Remote)

Job Title: Data Annotator - STEM (Remote)Location: RemoteHours: Looking for people that can commit to 10-40 hours per week.Pay: A range of $20-$30 per hour, with task-based structures to allow you to exceed the hourly rate. Rates vary depending on factors such as project complexity, education level, background/experience (e.g. higher rates for PhDs).Company Overview:At Snorkel AI, we are pioneering new approaches to high-quality, human-in-the-loop data development for training, tuning, and evaluating AI models. As part of our growing team, you’ll contribute directly to AI advancements by helping us annotate,curate, and perform quality control reviews on large datasets. This is an exciting opportunity to contribute to cutting-edge approaches to data development, and push the data frontier of what modern LLMs do and don’t know.Role Overview:Data annotation is the process of labeling or curating data to train, tune, and/or evaluate AI models. This includes tasks like identifying objects in images, tagging pieces of text, or generating multiple-choice questions to support AI models that depend on high-quality labeled data for accuracy. We are seeking detail-oriented Data Annotators, with STEM expertise, to assist with these tasks, ranging from annotating multimodal data (text, images) to generating educational content such as questions.Specifically, we’re looking to target annotators that have advanced degrees in the following areas:• Math• Physics• Chemistry• Engineering• Biology• Music• MedicalThis remote role allows for flexible, task-based work, providing opportunities for those who are self-motivated and efficient with their time to make a significant impact while controlling their earning potential.Key Responsibilities:Tasks will change project to project, but typically fall into the following buckets of work:• Multimodal data annotation: Accurately label and tag data, including images and text, following provided guidelines.• Multiple-choice question generation: Create clear and high-quality questions for educational or AI training purposes.• Quality assurance: Review and verify your annotations to ensure consistency and correctness across datasets.Skills and Qualifications:• Degree or concentration in one of the above-listed areas• Attention to detail: Precision is crucial, as incorrect labeling can impact the performance of machine learning models.• English proficiency: Excellent written and verbal communication skills, especially for generating content and annotating text-based data.• Data literacy: Experience or familiarity with handling and processing various types of data is preferred.• Technical aptitude: Comfort with basic software tools, spreadsheets, or annotation platforms is beneficial.• Self-motivation: Ability to work independently, manage time effectively, and meet project goals in a remote work environment.What We Offer:• Competitive and flexible pay that allows you to control your earnings• The opportunity to work remotely from anywhere, with flexible hours.• A chance to contribute to the development of cutting-edge AI technologies with world class AI/ML research teamsHow to Apply:Interested candidates should submit their resume. We will reach out with next steps to get started - no interviews are required, but our process will include completing a brief assessment, background check and onboarding session. If you would like to speak with a recruiter to learn more, we can arrange that as part of your process as well.
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$52000 / YEARLY (est.)
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$41600K
$62400K

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What You Should Know About Data Annotator - STEM (Remote), Snorkel AI

Join Snorkel AI as a Data Annotator - STEM (Remote) and be at the forefront of AI development from the comfort of your home! This unique opportunity allows you to engage in data annotation, helping to train and evaluate AI models by curating high-quality datasets. Whether you have a degree in Math, Physics, Chemistry, Engineering, Biology, Music, or Medical fields, your scientific expertise will play a vital role in our mission. You will be tasked with various responsibilities such as annotating multimodal data, generating multiple-choice questions, and ensuring the quality of annotations through careful reviews. With flexible working hours ranging from 10 to 40 hours per week and a pay rate between $20-$30 per hour based on project complexity and your background, you truly have the chance to shape your earnings. Snorkel AI prides itself on being a pioneer in AI data development, and we are looking for detail-oriented, self-motivated individuals to join our dynamic remote team. Embrace this opportunity and contribute to cutting-edge advancements while enjoying the flexibility of a remote work environment. Your meticulous attention to detail and strong communication skills will be crucial as we navigate the exciting challenges in AI together. Ready to make an impact? Join us today and push the data frontier of modern AI technologies!

Frequently Asked Questions (FAQs) for Data Annotator - STEM (Remote) Role at Snorkel AI
What are the responsibilities of a Data Annotator - STEM at Snorkel AI?

As a Data Annotator - STEM at Snorkel AI, your main responsibilities will include annotating multimodal data, creating multiple-choice questions, and performing quality assurance on datasets. You will play a significant role in ensuring the accuracy and reliability of data used for training and evaluating AI models.

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What qualifications do I need to apply for the Data Annotator - STEM position at Snorkel AI?

To be considered for the Data Annotator - STEM position at Snorkel AI, candidates should hold a degree in Math, Physics, Chemistry, Engineering, Biology, Music, or Medical fields. Additionally, applicants should have strong attention to detail, excellent English communication skills, and preferably some experience in handling data.

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Is the Data Annotator - STEM role at Snorkel AI fully remote?

Yes! The Data Annotator - STEM role at Snorkel AI is fully remote, allowing you to work from anywhere. You can enjoy the flexibility of choosing your work hours while contributing to meaningful AI projects.

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How much does a Data Annotator - STEM at Snorkel AI earn?

The pay range for a Data Annotator - STEM at Snorkel AI is between $20-$30 per hour. Earnings can vary depending on the complexity of the projects, your educational background, and experience level, providing opportunities for competitive compensation.

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What is the application process for the Data Annotator - STEM position at Snorkel AI?

The application process for the Data Annotator - STEM position at Snorkel AI involves submitting your resume. Selected candidates will undergo a brief assessment, background check, and onboarding session. There are no traditional interviews required, but opportunities to discuss your application with a recruiter can be arranged.

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Common Interview Questions for Data Annotator - STEM (Remote)
What strategies do you use for accurate data annotation?

When answering this question, emphasize your attention to detail and your methodical approach to following guidelines. Discuss any tools or techniques you employ to ensure accuracy and consistency in your data labeling.

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How do you handle feedback on your data annotations?

It's important to demonstrate a positive attitude towards feedback. Explain how you view constructive criticism as an opportunity for growth and clearly outline how you incorporate feedback to enhance your work quality.

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Can you describe your experience with multimodal data?

When tackling this question, highlight specific projects or experiences you've had with multimodal data, discussing your comfort with both text and imagery. If you have examples of how you successfully annotated such data, be sure to share those.

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What motivates you to work independently in a remote environment?

Discuss your personal drive, self-discipline, and strategies you use to stay organized while working remotely. Highlight how flexibility allows you to maintain productivity and how you avoid common distractions.

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How do you prioritize tasks when working on multiple projects?

Explain your organizational skills and the methods you use to prioritize tasks effectively. Providing an example of how you managed competing deadlines successfully would illustrate your ability to handle such situations.

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What role does attention to detail play in data annotation?

Elaborate on the significance of attention to detail in this role. Discuss the implications of inaccuracies in labeling and how your careful approach helps enhance the performance of AI models.

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How familiar are you with data annotation tools and software?

Share your experience with specific data annotation tools and your comfort level with using software programs like spreadsheets. If you’ve trained or assisted others in using these tools, mention that as well.

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Describe a challenging data annotation task you faced and how you resolved it.

Highlight a specific challenge related to data annotation, detailing the context, your approach to overcoming the difficulty, and ultimately, how your resolution benefited the project. This showcases your problem-solving skills.

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What kind of projects are you most interested in working on?

This is an opportunity to align your interests with the goals of Snorkel AI. Discuss your passion for STEM and how you would love to contribute to educational content or specific data types relevant to your expertise.

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What do you understand about the importance of quality assurance in data annotation?

Express the critical importance of quality assurance in maintaining the integrity of AI training data. Discuss practices you would adopt to ensure accuracy and consistency in your annotations.

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Our mission is to empower everyone to solve their most impactful problems through data-centric AI. To do this, we have introduced Snorkel Flow, a data-centric AI platform, and are building an incredibly talented team. We empower Fortune 500 enterp...

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Part-time, remote
DATE POSTED
December 13, 2024

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