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SME Task Creator – different sectors - Indonesia

Bisa dari IndonesiaLainnyaKontrak / freelance
Gaji
Tidak dicantumkan
Tanyakan saat wawancara
Wilayah
Bisa dari Indonesia
Indonesia
Tipe kerja
Kontrak / freelance
Remote penuh
Level
Tidak disebut
Pengalaman 3+ tahun
Zona waktu
Fleksibel / tidak disebut
Bahasa Inggris lancar
Diposting
Invalid Date
Dicek 2 hari lalu
Kenapa lowongan ini bisa dilamar dari Indonesia

Lokasi yang ditulis perusahaan: "Indonesia". Perusahaan menyebut Indonesia sebagai lokasi kerja.

Keputusan akhir tetap di perusahaan. Baca deskripsi lengkap sebelum melamar.

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Keahlian yang disebut

Machine LearningLLM

Deskripsi pekerjaan

2 menit baca

Work Location: Remote in Indonesia

Engagement model: Independent Contractor/Freelance

Project start: 9th of November 2026

Estimated project duration: until end of 2026

Estimated workload: up to 20 hours in total

Required Languages: English

About the Role

We are looking for experienced professionals and subject-matter experts to contribute to an AI training and evaluation project focused on the creation of realistic professional knowledge-based tasks.

The ideal candidate has hands-on experience and understands how real workplace assignments are completed in the following sectors:

Data, Business & BI Analysts

Product Manager, Business Operations, Project/PMO & Managers

Financial Analysis, Investment, Banking, Finance & Risk Professionals

Designers, Creative Producers & Prototypers

Sales, Account Managers & Business Development

Arts, Entertainment, Literature, Beauty, Fitness, Sports, Current Events, etc.

Human Resources, Finance, Education, Economics, Marketing/Sales

Statistics, Computer Science, Engineering

Law, Medicine, Data Science, Coding

The ideal candidate is also comfortable using modern LLM tools such as ChatGPT, Claude, Gemini, or similar platforms.

What You’ll Do

Develop realistic professional task scenarios based on your work experience in different roles within the above-mentioned sectors.

Create and review supporting business materials such as spreadsheets, reports, presentations, documents, datasets, or other occupation-specific files.

Requirements

Bachelor’s degree or equivalent professional qualification, where appropriate.

Minimum 3 years of relevant professional work experience in an applicable role within the above-mentioned sectors.

Be located in Indonesia

Strong practical knowledge of workflows, tools, terminology, standards, and deliverables used in your profession.

Have experience using tools such as ChatGPT, Claude, Gemini, or similar AI tools.

Strong analytical and problem-solving skills.

Experience working with multiple documents, data sources, reports, spreadsheets, presentations, or similar professional materials.

Strong written English (all the project related task creation will be done in English)

High attention to detail and ability to produce accurate, internally consistent work.

Ability to distinguish realistic professional work from overly simplified or artificial scenarios.

Experience creating, reviewing, validating, auditing, or quality-checking professional work is a plus.

Experience developing training materials, case studies, or professional assessments is a plus.

DataForce by TransPerfect is part of the TransPerfect family of companies, the world’s largest provider of language and technology solutions for global business, with offices in more than 100 cities worldwide.

We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world. Our department focuses on gathering, enriching and processing data for Machine Learning in different AI domains.

To learn more about DataForce please visit us at.

Originally posted on Himalayas

Hitung gaji bersih dalam rupiah

Kotor per bulanRp0
Biaya transfer & kurs− Rp0
Perkiraan PPh 21 per bulan − Rp0
Diterima bersih per bulanRp0
Bersih setahunRp0

Perkiraan kasar: kurs USD Rp17.800; pajak dihitung sebagai penghasilan orang pribadi (tarif progresif PPh 21, dikurangi PTKP), tanpa NPPN, iuran BPJS, atau potongan lain. Bukan nasihat pajak; cek ketentuan terbaru atau konsultan pajak.

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Tips melamar

  1. Sebutkan lokasi dan zona waktumu di bagian atas CV, mis. Jakarta, Indonesia (GMT+7).
  2. Sesuaikan ringkasan CV dengan kata kunci di deskripsi, terutama Machine Learning, LLM.
  3. Tulis hasil kerja dengan angka (mis. "menangani 60 tiket/hari"), bukan hanya tugas.
  4. Perusahaan resmi tidak pernah meminta biaya untuk melamar atau wawancara.
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