
1 - 10 employees
Founded 2020
🚗 Transport
🤖 Artificial Intelligence
☁️ SaaS
💰 Seed Round on 2021-11
Transport • Artificial Intelligence • SaaS
Spotter Labs is a company that offers AI-driven solutions to enhance trucking efficiency and maximize earnings for drivers and owner-operators. Utilizing advanced technology, Spotter enables users to schedule personal work times, select preferred destinations, and avoid unfavorable markets using a NO-GO map. The platform intelligently recommends loads based on their score, connecting drivers with optimal opportunities. With special considerations for motor carriers (MCs) older than six months, Spotter provides competitive pricing and services for various stages of MC age.
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Improve your chances of getting an interview by checking your resume score before you apply.

1 - 10 employees
Founded 2020
🚗 Transport
🤖 Artificial Intelligence
☁️ SaaS
💰 Seed Round on 2021-11
Transport • Artificial Intelligence • SaaS
Spotter Labs is a company that offers AI-driven solutions to enhance trucking efficiency and maximize earnings for drivers and owner-operators. Utilizing advanced technology, Spotter enables users to schedule personal work times, select preferred destinations, and avoid unfavorable markets using a NO-GO map. The platform intelligently recommends loads based on their score, connecting drivers with optimal opportunities. With special considerations for motor carriers (MCs) older than six months, Spotter provides competitive pricing and services for various stages of MC age.
• Enter and update large volumes of data into various internal systems • Review and verify data for completeness and accuracy • Organize and classify data into relevant categories • Work closely with various departments to ensure data accuracy • Assist in the creation of reports based on data collected • Conduct regular data audits to maintain integrity • Handle data with confidentiality and security • Stay updated on tools and technologies in data management • Adhere to deadlines and maintain productivity levels
• Strong attention to detail • Ability to manage large datasets • Commitment to accuracy • Experience with data entry
• Professional development opportunities • Health insurance • Flexible work arrangements
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