Online Data Analyst

Mashreq Bank; Remote; SGD 60,000 - 80,000; Part time

Job summary

A global financial institution is seeking a Freelance Online Data Analyst to analyze and validate English language data sets. This 100% remote position offers flexibility to work anytime and anywhere. Candidates should have a degree in Linguistics, English, or Data Science, alongside native English fluency and preferred experience in data labeling or market research. The role involves reviewing datasets, annotating data, and performing sentiment analyses, offering exposure to cutting-edge AI projects.

Benefits

Total flexibility

Exposure to cutting-edge AI projects

No long-term commitment required

Qualifications

• Native or near-native English fluency (written and verbal) is mandatory.
• Prior experience in data labeling, content moderation, or market research is highly preferred.
• Ability to interpret nuance, slang, and cultural context within the English language.

Responsibilities

• Review and evaluate English language datasets for accuracy and relevance.
• Annotate and label data based on specific project guidelines.
• Conduct web-based research to verify the factual accuracy of AI-generated responses.

Skills

Data labeling

Sentiment analysis

Analytical skills

Research skills

Education

Bachelor degree in Linguistics, English, Data Science or related field

Tools

Google Workspace

Job description

We are seeking a detail-oriented Freelance Online Data Analyst to support our global research and quality teams. In this role, you will analyze, categorize, and validate large sets of English language data to improve AI models, search engine relevance, and market research accuracy. This is a 100% freelance, remote position that offers the ultimate flexibility to work whenever and wherever you choose, provided you meet the project deadlines and quality standards.

Key Responsibilities:

• Review and evaluate English language datasets (text, search queries, or social media content) for accuracy and relevance.

• Annotate and label data based on specific project guidelines to train machine learning algorithms.

• Perform sentiment analysis and intent classification on various types of consumer feedback.

• Conduct web-based research to verify the factual accuracy of AI-generated responses.

• Provide detailed qualitative feedback in English regarding data patterns or inconsistencies discovered during analysis.

Requirements:

• Education: Bachelor degree in Linguistics, English, Data Science, or a related field (or equivalent professional experience).

• Language: Native or near-native English fluency (written and verbal) is mandatory.

• Experience: Prior experience in data labeling, content moderation, or market research is highly preferred.

• Analytical Skills: Ability to interpret nuance, slang, and cultural context within the English language.

Technical Requirements:

• Hardware: A reliable personal computer or laptop (Mac or PC).

• Internet: Stable high-speed internet connection for accessing cloud-based data platforms.

• Software: Proficiency in Google Workspace (Docs/Sheets) and a basic understanding of data privacy protocols.

• Browser: Must be comfortable using advanced search operators and navigating multiple browser tabs efficiently.

Work Details:

• Shift: Self-Paced / No Fixed Hours (Work as much or as little as you want).

• Schedule: Project-based; deadlines are communicated in advance.

• Mode: 100% Remote (Global).

• Compensation: Task-based or Hourly rate (Paid via PayPal, Wire Transfer, or Payoneer).

• Benefits: Total flexibility, exposure to cutting-edge AI projects, and no long-term commitment required.