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JobsTesla

Virtual Body Repair Estimator

Tesla

Virtual Body Repair Estimator

Tesla

Oakleigh South

·

On-site

·

Full-time

·

Today

What To Expect
Are you a detail-oriented estimator with a passion for cutting-edge automotive tech? Tesla is seeking experienced Body Repair Estimators to join our innovative Virtual Body Repair Estimation Team in Australia and New Zealand. This virtual team will be managing 5 major sites across Australia and New Zealand, with the role requiring onsite work from our centralised hub in Oakleigh South, VIC. In this position, you'll deliver lightning-fast, accurate damage assessments, collaborate virtually with on-site teams and insurers, and ensure Tesla owners get back on the road with world-class service. Work with advanced EV technology, AI-driven tools, and a forward-thinking team that's redefining collision repairs. If you're excited about sustainable mobility and thrive in a high-impact, virtual environment, this is your opportunity to drive real change. Be part of Tesla's mission to accelerate the world's transition to sustainable energy—apply today and electrify your career!

What You'll Do

  • Generate accurate body repair estimates using Dealer Management Systems, following Tesla-specific procedures and targeting 8-10 estimates per day.
  • Document damages with photos, draft/order replacement parts from Tesla warehouses.
  • Communicate proactively with insurance partners to submit claims, process supplementary estimates within 30 minutes, and secure approvals.
  • Respond to emails, SMS, missed calls, and customer inquiries in under 30 minutes.
  • Collaborate remotely with ANZ teams to handle state-specific variances, insurer protocols, and third-party assessments, while recording all data accurately in Dealer Management Systems.
  • Adapt to fortnightly site rotations, manage high-volume queues, and contribute to team KPIs by optimising productivity and efficiency.


  • What You'll Bring

  • 2-3+ years of automotive/body repair estimation experience; relevant certifications (e.g., Panel Beating, Spray Painting, or Motor Mechanic qualifications).
  • Strong knowledge of ANZ automotive repair standards, insurer procedures, and collision workflows.
  • Proficiency in Dealer Management Systems, Microsoft Outlook/Office, and digital tools; excellent verbal/written communication for remote collaboration.
  • Adaptable, self-motivated, and results-driven, with the ability to handle multiple priorities, organise workloads, meet deadlines, and solve problems independently.
  • Keen attention to detail, customer service focus, and passion for innovative technologies.
  • Proven ability to build cooperative relationships with teams, insurers, and the public.
  • Preferred Qualifications:
  • Experience with API integrations, insurer upload platforms, or AI-driven estimation tools.
  • Willingness to cross-train in management roles for career advancement and adaptability to high-volume demands or shifting priorities.


  • , Tesla

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    About Tesla

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    Employees

    Ciudad De Panamá

    Headquarters

    $800B

    Valuation

    Reviews

    3.1

    5 reviews

    Work Life Balance

    1.5

    Compensation

    1.2

    Culture

    1.3

    Career

    1.8

    Management

    1.1

    15%

    Recommend to a Friend

    Pros

    Strong financial performance

    Revenue growth

    Company achieving targets

    Cons

    Poor compensation and raises below inflation

    Union-busting and anti-labor practices

    Unpaid work demands and wage theft

    Salary Ranges

    3,570 data points

    Junior/L3

    Mid/L4

    Junior/L3 · Associate Analyst

    2 reports

    $94,875

    total / year

    Base

    $82,500

    Stock

    -

    Bonus

    -

    $92,000

    $97,750

    Interview Experience

    4 interviews

    Difficulty

    3.5

    / 5

    Duration

    14-28 weeks

    Experience

    Positive 0%

    Neutral 75%

    Negative 25%

    Interview Process

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    Common Questions

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts