Data Annotator

Rapid Global; Sydney; On-site; AUD 30,000 - 36,000; Part time

Benefits offered by this job

Career development

Mentorship from product/engineering/QA

Tools provided

Job summary

Rapid Global is seeking a Data Annotator for its Sydney office to support the Aware product vertical. You will review, label and quality-check images and video data that power our AI systems and work closely with product, engineering and QA teams.

This is ideal for university students or recent graduates seeking practical tech experience in a collaborative, supportive environment. You will join a diverse team, learn our guidelines, and grow through regular mentorship and hands-on training, with

Qualifications

• Currently studying or recent graduate; no prior industry experience required.
• Strong attention to detail and precision in repetitive tasks.
• Reliable and able to commit to 3 set days per week in person at Sydney office.
• Good written communication; able to raise questions or flag issues clearly.

Responsibilities

• Labelling and annotating images, video, and datasets according to guidelines.
• Reviewing existing annotations for accuracy and consistency.
• Flagging edge cases or guideline gaps to the team.
• Maintaining high attention to detail across repetitive tasks.
• Working with spreadsheets and internal tools to track progress.
• Collaborating with QA and engineering to refine labelling guidelines.

Skills

Attention to detail

Written communication

Reliability

Team collaboration

Education

Currently studying or recent graduate

Tools

Spreadsheets

Web-based platforms

QA tools

Job description

Leading global companies choose Rapid Global to streamline their compliance and safety processes. Together, our suite of products offers an end-to-end solution that supports a culture of safety and compliance for businesses across Australia, the UK, Europe, South Africa, and the USA.

Our Team

About Rapid

Leading global companies choose Rapid Global to streamline their compliance and safety processes. Together, our suite of products offers an end-to-end solution that supports a culture of safety and compliance for businesses across Australia, the UK, Europe, South Africa, and the USA.

Our Team

We’re a diverse and talented team at Rapid Global, united by our mission: to make the world a safer place to work. Innovation is at the heart of what we do. We are constantly building the future of workplace safety and striving for growth, both individually and as a team. “Better” isn’t a goal for us; it’s our baseline.

We bring energy, purpose and genuine care to our work because we know that behind every software solution is a human whose safety matters. Our culture is grounded in collaboration, community and efficiency, with a strong focus on supporting our people and creating meaningful impact for our customers and users.

At Rapid, we’re more than coworkers. We’re a community empowered to make a difference. We invest in development, back each other and celebrate shared wins. To learn more about our team, our values and what it’s like to be part of Rapid Global, visit rapidglobal.com.

About the role (0.6FTE)

Rapid's Aware product vertical is building AI-powered tools that help keep workers safe on job sites, including video analytics, access management, and permit-to-work systems. To train and validate these models, we need clean, well-labelled data, and that's where you come in.

As a Data Annotator, you'll review, label, and quality-check data (images, video, and structured records) that feeds directly into our AI and machine learning products. You'll work alongside our product, engineering, and QA teams in our Sydney office, giving you a genuine look at how a software company builds and ships real products.

This is a great fit for university students or recent graduates who want practical, resume-worthy experience in tech, AI, or software, without needing prior industry experience.

What you'll be doing

• Labelling and annotating images, video footage, and datasets according to defined guidelines
• Reviewing existing annotations for accuracy and consistency
• Flagging edge cases, ambiguous data, or guideline gaps to the team
• Maintaining a high standard of attention to detail across repetitive tasks
• Working with spreadsheets and internal tools to track annotation progress
• Collaborating with QA and engineering to help refine labelling guidelines over time

What we're looking for

• Currently studying (any discipline) or a recent graduate looking to build industry experience
• Strong attention to detail and comfortable with repetitive, precision-focused work
• Reliable and able to commit to 3 set days per week, in person at our Sydney office
• Comfortable with basic computer tools (spreadsheets, web-based platforms)
• Good written communication, for raising questions or flagging issues clearly
• No annotation or AI experience required. We'll train you on our tools and guidelines

Nice to have (not required)

• Interest in AI, machine learning, or computer vision
• Background or study in computer science, data science, engineering, or similar
• Prior casual/part-time work involving data entry, QA, or admin tasks

What we can provide for you

• Level up your career from day one. We know growth matters, so you’ll have access to hands‑on career development designed to build real capabilities and set you up for your future career, including regular check‑ins focused on skills growth and direct mentorship from product, engineering, and QA staff
• Get a feel for our culture. Jump onto our @RapidGlobal Instagram to see what life here looks like: think coffee carts, STEPtember challenges, escape rooms, tree climbs, go‑karting, team lunches and plenty more wellness initiatives.
• We love celebrating wins. Our reward and recognition program highlights your impact, big or small.
• Everything you need to succeed. All training and tech tools provided, so you can hit the ground running.
• A team you’ll actually want to work with. Join a fun, passionate, high-performing crew in a relaxed, supportive atmosphere,

We believe great teams are built through diversity, inclusion, and representation. No matter who you are or where you come from, you’re welcome here. We encourage applicants from all backgrounds and are committed to creating a gender-balanced workforce.

Respectfully, no recruitment agencies. Only those shortlisted will be contacted.

We look forward to hearing from you!