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AI Labeller (Maths/Science)

Join Atomi: Innovate, empower and inspire in the Edtech world.


Our mission is to help unlock the world’s potential by optimising the way we teach and learn. With a unique blend of technology and creativity, we bring learning to life, making complex concepts simple and accessible to students, educators, and parents alike.


We’re a team driven by our core values: a deep-rooted passion for learning, a relentless pursuit of quality at speed, humility in our growth, a commitment to pushing boundaries, empowering others fearlessly and championing the needs of our customers. Our culture is built on these values, ensuring we stay agile, innovative and empathetic to the evolving needs of the education community.


At Atomi, you’ll be encouraged to think creatively, work collaboratively and contribute to a mission where every piece of work is a step towards realising our collective potential in classrooms and beyond.


The opportunity


We’re looking for an AI Labeller with a deep understanding of the Australian high school curriculum, particularly Maths/Science a strong knowledge of assessment standards and a keen interest in technology.


At Atomi, we’ve pioneered the use of AI for instant marking and personalised feedback within online interactive assessments. This helps us deliver effective learning and teaching to 700+ high schools across Australia and beyond. In this role, you'll be joining our AI data team and using your expertise to ensure that our AI Marking & Feedback systems operate safely and continue to exceed our high standards of accuracy and relevance.


Please note: This is a casual role with the expectation of approximately 5 hours per week of work


Your Contribution:
  • Guideline Development: Contribute to the development of marking guidelines, ensuring they are clear and comprehensible to the data labelling team.
  • Marking Reviewer: Adjudicating student marking disputes and feedback to understand marking errors, diagnose feedback issues and contribute to the active learning of AI models.
  • Quality Assurance: Contribute to AI model stress and adversarial testing to ensure behavioural accuracy, safety and harmlessness of AI models.
  • Pedagogical Insight: Suggest improvements to how we mark, grade and deliver feedback to students and teachers based on your insights, data trends and feedback from various stakeholders.


We Are Looking For Someone With:
  • Educational Background: Outstanding academic results in the Australian High School or Tertiary Education context, demonstrated a 98+ ATAR, Premier’s All-Rounder Award, or another equivalently recognised academic achievement.
  • Analytical and Critical Thinking: Ability to work methodically through complex problems step-by-step with a clear rationale. You use your quantitative skills and reasoned arguments to make clear judgments.
  • TechnologicalCuriosity: Interest in how AI can transform educational practices, with a willingness to bridge traditional assessment methods with innovative technological solutions.
  • Data-Driven Thinking: Interest in data-driven processes and governance is preferable but not required; training will be provided.


Why Join Us?
  • Impactful Work: Make a tangible difference in how students and teachers experience learning and teaching across Australia.
  • Drive Educational Innovation: Be part of a forward-thinking team at the forefront of AI-driven educational technology.
  • Work Flexibly: Benefit from the adaptability of a part-time role designed to value your expertise whilst accommodating your schedule.
  • Location Independence: Work from Sydney, interstate or wherever you find inspiration.
  • Growth and development: Use ongoing opportunities to improve your skills and expand your knowledge.
  • Work with the best: We know you want to work alongside the best, so we work hard to hire only the best.
  • Regular social in-person and remote events: Including team sports competitions, trivia nights and themed annual events.
  • Atomi access: Enjoy free Atomi services for you and your family.
  • Onsite teams: Our Sydney office is ideally located in a central setting with cafes, shops and public transport nearby.


How to apply


We’d like to understand who you are, your values and your professional journey. Please apply with your resume, a link to your portfolio and any insights you’d like to share.


We embrace diversity. Bringing together a variety of thoughts, backgrounds, and expressions is key to creating outstanding products and teams. We value many different skills and perspectives and how they can enhance Atomi and our culture. So, please apply even if you don’t meet every requirement listed.


Please note: All applicants must hold Australian working rights.

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What You Should Know About AI Labeller (Maths/Science), Atomi

Join Atomi as an AI Labeller specializing in Maths and Science, where you can innovate, empower, and inspire in the Edtech world! Our mission is to unlock the world’s potential by optimizing how we teach and learn. With a unique mix of technology and creativity, we strive to make complex concepts simple and engaging for students, educators, and parents alike. At Atomi, we cherish our core values around a passion for learning and commitment to quality, all while maintaining an agile and empathetic approach to the evolving needs of the education community. As an AI Labeller, you will be a vital part of our AI data team, utilizing your deep understanding of the Australian high school curriculum to help our AI Marking & Feedback systems achieve and maintain accuracy and relevance. Your role will include developing clear marking guidelines, adjudicating disputes, and contributing to the rigorous testing of AI models. We’re looking for someone with exceptional academic achievements, strong analytical skills, and a curiosity about how technology can transform education. This casual role offers about 5 hours of work per week, with the flexibility to work from Sydney or anywhere you feel inspired. Joining us means impacting the educational experience across Australia while enjoying the growth opportunities and perks of a forward-thinking team. If you're excited about optimizing learning outcomes with innovative technological solutions, Atomi is the perfect place for you to shine!

Frequently Asked Questions (FAQs) for AI Labeller (Maths/Science) Role at Atomi
What are the responsibilities of an AI Labeller at Atomi?

As an AI Labeller at Atomi, you'll be involved in developing marking guidelines, adjudicating marking disputes, and contributing to quality assurance processes for our AI model. Your role will also include providing pedagogical insights to improve our assessment methods, ensuring that our systems maintain the highest standards of accuracy in marking and feedback.

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What qualifications do I need to apply for the AI Labeller position at Atomi?

To apply for the AI Labeller position at Atomi, you should have outstanding academic results in the Australian High School context, ideally a 98+ ATAR or equivalent academic achievement. Additionally, a strong understanding of the Maths/Science curriculum and a keen interest in educational technology are essential.

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Is the AI Labeller role at Atomi a full-time position?

No, the AI Labeller role at Atomi is a casual position requiring approximately 5 hours of work each week. This allows for a flexible schedule, which is perfect for those looking to balance work and other commitments while still contributing to meaningful educational innovations.

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What does a typical workweek look like for an AI Labeller at Atomi?

A typical workweek for an AI Labeller at Atomi includes reviewing marking guidelines, handling student feedback or marking disputes, and engaging in quality assurance testing. You'll also have the opportunity to participate in discussions around improving pedagogical insights based on data trends and stakeholder feedback.

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What kind of support and training can I expect as an AI Labeller at Atomi?

At Atomi, we believe in providing our team members with ongoing support and training. As an AI Labeller, you'll receive training in data-driven processes and governance, along with continuous opportunities to enhance your skills and knowledge in both AI technology and educational practices.

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Common Interview Questions for AI Labeller (Maths/Science)
Can you explain your understanding of AI's role in education?

In your response, emphasize how AI can personalize learning experiences, provide instant feedback for assessments, and streamline administrative tasks, highlighting the positive impact on teachers and students.

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How do you approach developing marking guidelines?

Discuss how you would ensure clarity and comprehensibility in guidelines, involving collaboration with peers, incorporating feedback from educators, and maintaining alignment with curriculum standards.

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What steps would you take to resolve a marking dispute?

Explain that you would carefully review the case, consider the provided evidence, and communicate clearly with all parties involved to understand the context and arrive at a fair resolution.

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Describe a time when you had to analyze complex data. What was your approach?

Share a specific example, outlining your methodical process for breaking down the data, identifying trends or insights, and how your findings positively impacted the outcome.

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What skills do you think are essential for an AI Labeller?

Mention critical thinking, attention to detail, strong analytical abilities, and a passion for educational technology as essential skills, explaining why each is important in this role.

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How can data-driven insights improve educational assessments?

Discuss how analyzing assessment data leads to customized learning paths based on student needs, helps identify gaps in understanding, and refines teaching strategies to enhance student success.

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What challenges do you foresee in integrating AI into marking and feedback?

Acknowledge possible challenges such as ensuring fairness, maintaining accuracy, and adapting to various learning styles, and suggest ways to mitigate these issues through testing and stakeholder engagement.

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How would you ensure the quality and safety of AI models?

Explain that rigorous testing processes, including stress and adversarial testing, along with regular reviews, are essential to guarantee behavioral accuracy and safety in AI marking systems.

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Can you provide an example of how you've used technology in education?

Share a specific instance where you utilized technology to enhance learning, such as creating interactive lessons, using educational apps, or participating in projects that leverage tech to improve outcomes.

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What interests you about working at Atomi?

Express enthusiasm for Atomi's mission to transform education through technology, its commitment to quality and innovation, and the opportunity to be part of a forward-thinking team that values diverse insights.

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Part-time, remote
DATE POSTED
April 22, 2025

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