Description review

Project Associate, Qualification - Night Shift

Appen · Philippines · back to the listing

HR standards

56/100

needs work

Title ↔ description

60/100

needs work

Reads as

Operations Manager

81% confident

What this role officially is

operations manager — ESCO, the EU occupation classification

Operations managers plan, oversee and coordinate the daily operations of production of goods and provision of services. They also formulate and implement company policies and plan the use of human resources and materials.

Also known as: division operations manager, operations administrator, operations supervisor, operations general manager, operations director, business operations manager

How others title the same work

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What the listing never says

  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
  • No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity

The listing, marked up

About the Role

As a Project Associate, you’ll manage the processes that prepare contributors for AI, LLM, data collection, and relevance projects. You’ll build and maintain onboarding workflows, learning materials, and readiness reporting while evaluating contributor performance to ensure they are prepared to begin work.

You’ll partner with Recruiting, Trust & Safety, Delivery, and Program teams to ensure onboarding programs are ready for launch, aligned with project requirements, and continuously improved.

Your Impact

• Set up workflows, launch materials, and supporting content for new and expanding projects.

• Create and maintain clear enablement materials, including modules, FAQs, exercises, quizzes, and knowledge checks.

• Evaluate contributor qualifications and eligibility, maintain records, and manage access and task assignments within project tools.

• Respond to contributor questions and tickets related to onboarding and access, escalating issues when needed.

• Maintain trackers and dashboards, provide project updates, and flag inconsistencies or risks affecting contributor readiness.

• Analyze onboarding and performance issues, identify root causes, and develop targeted clarifications or refresher content.

Success in this role means contributors are prepared on time, project quality standards are met, and stakeholders have clear visibility into readiness and performance.

What You Bring

• 2–3 years of experience in a metric-driven environment such as operations, production, or a customer support/call center setting.

• Moderate to advanced Excel and Power BI or equivalent dashboarding experience, with the ability to build and maintain trackers and readiness reporting.

• Familiarity with AI concepts and terminology, including LLMs, prompting, annotation, and search relevance.

• Experience working with ticketing or contributor/crowd support platforms.

• Strong written and verbal English communication skills, with the ability to clearly explain policies and guidelines to diverse audiences.

• Flexibility to support changing program needs and work a night shift schedule.

Preferred

• Bachelor’s degree or equivalent work experience.

• Project Management, data analytics or process improvement.

Compensation

Additional Information

Why You'll Love Working Here

At Appen, we foster a culture of innovation, collaboration, and excellence. We value curiosity, accountability, and a commitment to delivering the highest quality AI solutions for frontier models.

You'll work on complex challenges that shape the future of AI across industries and geographies, alongside talented people in a culture that values humility over ego. You'll have the flexibility to deliver in a way that works for you and your team, supported by tools, resources, and development opportunities to continue to build your capability over time.

About Appen

Appen has been a leader in AI training data for over 30 years1 . We specialise in human generated data to train, fine tune, and evaluate models across generative AI, large language models, computer vision, and speech recognition. Our AI assisted data annotation platform and global crowd of more than 1 million contributors in over 200 countries support model pre training, supervised fine tuning, evaluation and benchmarking, safety and red teaming, and multilingual global expansion.

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 16 points (from 72 before penalties). Reviewed 21 Sep 2026.