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Virtual Auto Damage Appraiser

Tesla

Virtual Auto Damage Appraiser

Tesla

Houston, Texas

·

On-site

·

Full-time

·

Today

What To Expect
Tesla is seeking a skilled and experienced Virtual Auto Damage Appraiser to join our growing team. In this role, you will be responsible for completing auto physical damage estimates with quality, efficiency, and following Tesla repair procedures. The ideal candidate will have a minimum of 1 years’ experience in writing auto damage estimates, being proficient in estimating software and expertise in the insurance industry.

What You'll Do

  • Conduct virtual estimates and supplements based on photos provided by the customer or body shop in an efficient manner
  • Accurately assess vehicle damages and complete a thorough estimate using proper repair procedures
  • Adheres to company claims procedures and guidelines
  • Negotiates with auto repair facilities and reaches agreement for cost of repair
  • Evaluate the Actual Cash Value of a vehicle determined to be a total loss following company guidelines
  • Settle vehicles determined to be a total loss
  • Identify and report underwriting concerns or evidence of external fraud to appropriate channels


  • What You'll Bring

  • 1+ years’ experience as an auto damage appraiser with an insurance company or as a body shop writer
  • Experience with major estimating software
  • Effective organizational skills
  • Effective communication skills
  • Ability to complete work individually or in a team atmosphere
  • Ability to travel to repair facilities for onsite inspections and other in-person tasks as needed
  • Drivers License required


  • Benefits
    Compensation and Benefits
    Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
  • Medical plans > plan options with $0 payroll deduction
  • Family-building, fertility, adoption and surrogacy benefits
  • Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
  • Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
  • Company paid Basic Life, AD&D
  • Short-term and long-term disability insurance (90 day waiting period)
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
  • Back-up childcare and parenting support resources
  • Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
  • Weight Loss and Tobacco Cessation Programs
  • Tesla Babies program
  • Commuter benefits
  • Employee discounts and perks program


  • , Tesla

    총 조회수

    0

    총 지원 클릭 수

    0

    모의 지원자 수

    0

    스크랩

    0

    Tesla 소개

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    직원 수

    Ciudad De Panamá

    본사 위치

    $800B

    기업 가치

    리뷰

    3.1

    5개 리뷰

    워라밸

    1.5

    보상

    1.2

    문화

    1.3

    커리어

    1.8

    경영진

    1.1

    15%

    친구에게 추천

    장점

    Strong financial performance

    Revenue growth

    Company achieving targets

    단점

    Poor compensation and raises below inflation

    Union-busting and anti-labor practices

    Unpaid work demands and wage theft

    연봉 정보

    3,570개 데이터

    Junior/L3

    Mid/L4

    Junior/L3 · Accountant

    1개 리포트

    $92,000

    총 연봉

    기본급

    $80,000

    주식

    -

    보너스

    -

    $92,000

    $92,000

    면접 경험

    4개 면접

    난이도

    3.5

    / 5

    소요 기간

    14-28주

    경험

    긍정 0%

    보통 75%

    부정 25%

    면접 과정

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    자주 나오는 질문

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts