Facilities Administrative Technical Coordinator at Appen

Calabarzon, Philippines

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

Bachelor’s Degree in Mechanical Engineering (licensed, Board passer)
Open to newly graduated, licensed, board passer engineers with strong willingness to learn
Flexible, adaptable, and able to manage multiple responsibilities
Knowledge in facilities operations and government compliance is an advantage
Strong organizational, problem-solving, and communication skills

Responsibilities

Ensure compliance with inspections, audits, and government reporting
Oversee facility operations including maintenance, budget monitoring, supplies, and site modifications
Coordinate with landlords, vendors, and internal stakeholders through regular meetings and reports
Implement workplace safety programs, investigate incidents, and support employee onboarding/offboarding
Perform flexible and ad-hoc tasks to support daily operations and business continuity

Skills

Facilities Management

Workplace Safety

Regulatory Compliance

Inspections

Audits

Government Reporting

Maintenance Coordination

Administrative Support

Appen

Provides high-quality training data for AI

About Appen

Appen provides high-quality training data necessary for developing artificial intelligence (AI) systems, specializing in collecting and labeling data such as images, text, speech, audio, and video. The company uses a combination of in-house experts and a network of over 1 million contractors to deliver data annotation services, which help AI algorithms learn effectively. Appen stands out from competitors due to its global reach and extensive contractor network, allowing it to offer reliable data tailored to client needs. The goal of Appen is to enable organizations to create AI systems that perform various functions, enhancing the overall capabilities of AI technology.

Sydney, AustraliaHeadquarters

1996Year Founded

$358MTotal Funding

IPOCompany Stage

AI & Machine LearningIndustries

10,001+Employees