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トレンド企業

トレンド企業

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求人Tesla

Virtual Body Repair Estimator

Tesla

Virtual Body Repair Estimator

Tesla

Oakleigh South

·

On-site

·

Full-time

·

Today

必須スキル

Customer Service

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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    Teslaについて

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    従業員数

    Ciudad De Panamá

    本社所在地

    $800B

    企業価値

    レビュー

    3.1

    5件のレビュー

    ワークライフバランス

    1.5

    報酬

    1.2

    企業文化

    1.3

    キャリア

    1.8

    経営陣

    1.1

    15%

    友人に勧める

    良い点

    Strong financial performance

    Revenue growth

    Company achieving targets

    改善点

    Poor compensation and raises below inflation

    Union-busting and anti-labor practices

    Unpaid work demands and wage theft

    給与レンジ

    1,397件のデータ

    Junior/L3

    Mid/L4

    Junior/L3 · Associate Analyst

    2件のレポート

    $94,875

    年収総額

    基本給

    $82,500

    ストック

    -

    ボーナス

    -

    $92,000

    $97,750

    面接体験

    4件の面接

    難易度

    3.5

    / 5

    期間

    14-28週間

    体験

    ポジティブ 0%

    普通 75%

    ネガティブ 25%

    面接プロセス

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    よくある質問

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts