דרושים » תוכנה » Data Tagging Operator (Full-Time - On Site - Hourly Rate)

Requirements:
* Excellent verbal and written English
* Proficiency in Microsoft Office
* Technical orientation and good computer skills
* Proactivity, can-do attitude, and high attention to the little details
* Ability to work independently and as part of a team
* Dynamic, self-motivated and fast learner
* Ability to follow complex guidelines
* Ability to work in repetitive tasks with accuracy & Consistency Bonus if you have:
* Familiarity with the automotive market
* Relevant academic degree - advantage
Why us:
* Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, Machine Learning, and computer vision to revolutionize vehicle inspections.
* Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale.
* Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships.

Requirements:
Native French speaker and high proficiency in English.
Strong attention to detail and ability to perform precise, consistent work across large volumes of data.
Interest in linguistics, language quality, and the interaction between language and AI systems.
Ability to follow detailed annotation guidelines and maintain high accuracy and consistency.
Ability to analyze annotated data and evaluation results to identify patterns and assess model performance.
Ability to work independently with strong communication skills.
Experience with using excel for data analysis

Requirements:
Native Spanish speaker and high proficiency in English.
Experince with data annotation or linguistic analysis.
Strong attention to detail and ability to perform precise, consistent work across large volumes of data.
Interest in linguistics, language quality, and the interaction between language and AI systems.
Ability to follow detailed annotation guidelines and maintain high accuracy and consistency.
Ability to analyze annotated data and evaluation results to identify patterns and assess model performance.
Ability to work independently with strong communication skills.
Experience with using excel for data analysis
Nice to have:
Experience with translation quality evaluation, or similar language-focused work is an advantage.
Familiarity with LLMs, machine learning concepts, or AI model evaluation.
Handling e-commerce related textual data.

Requirements:
Requirements: must have requirements: • Bachelor’s degree in Computer Science, Data Science, Statistics, or another relevant field, or equivalent professional experience. • At least 5 years of experience in Data Engineering, with a focus on Analytics and BI. • Expert-level SQL skills. • Deep experience with PostgreSQL, including performance tuning and optimization. • At least 3 years of experience with Python for data processing, automation, and testing. • At least 3 years of experience designing and implementing large-scale data models. • Experience leading performance optimization in complex data systems. • Experience establishing and implementing Data Governance and Data Quality processes. • Proven ability to translate business requirements into data architecture and technological solutions. • Experience providing technical leadership, mentoring, and leading technological initiatives. • Experience building Data and Analytics platforms from scratch. • Proven experience integrating AI and LLM tools into development and data engineering processes. Advantages: • Experience in FinTech or financial organizations. • Deep familiarity with regulation, information security, and compliance requirements. • Experience working with Data Lakes and Data Warehouses. • Experience with orchestration tools and ELT / ETL processes. • Experience working in cloud environments such as AWS, GCP, or Azure. • Familiarity with streaming technologies and real-time data processing. • Experience leading technology teams or professional excellence groups. Personality requirements: • Fast learning ability and curiosity for new technologies and methodologies. • Strategic thinking and broad system-wide perspective. • Ability to lead and influence without formal authority. • Ability to work independently and manage multiple tasks simultaneously. • High personal responsibility and ability to receive professional feedback. • Initiative, creativity, and ability to solve complex problems. • High motivation and constant drive for excellence. • Excellent interpersonal communication skills and ability to work with multiple stakeholders. • Ability to driv

Requirements:
Requirements
3+ years of experience in Python development (production-level data logic, not just scripting).
2+ years of experience with data validation / data quality practices.
Experience with data pipelines / ETL processes.
Proficiency in Pandas (or similar libraries).
Strong SQL and database knowledge.
Experience working with existing production codebases (debugging, refactoring).
Ability to communicate clearly with non-technical stakeholders when needed.
Strong analytical thinking and problem-solving skills.
High attention to detail and commitment to data accuracy.
Bachelors degree in Computer Science, Statistics, Industrial Engineering, or a related quantitative field.
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Advantages
Familiarity with data modeling best practices.
Experience supporting customer-facing data use cases or deliverables.
Background in DataOps / data reliability practices.
Exposure to machine learning pipelines.

Requirements:
Ability to perform repetitive and meditative work.
A high level of English proficiency (both written and verbal) - must
Eager to learn and get to know the Data world in a high-tech company.
Efficient and have good concentration skills.
Ability to take initiative, work independently and manage task without constant supervision.
Problem solver.
Strong analytical skills and attention to details.
Ability to work in a team and communicate efficiently with manager/team members.
Ability to develop and deliver support materials.
Strong project management skills and the ability to manage multiple projects simultaneously.

Requirements:
+2 years experience in data or business analysis roles, management, risk or financial consulting, business strategy, or relevant data operations roles in an international organization.
B.A/M.A/MBA graduate (Economics, Industrial Engineering, Management, Accounting, or similar) with an exceptional academic track record.
Experience analyzing data using complex SQL queries.
Experience analyzing data using Python (pandas, seaborn, etc.).
Excellent communication and presentation skills.
Proven experience in identifying and analyzing deficiencies, driving solutions and mitigations.
Very high level of English (verbal and written), including the ability to write and present articulated documentation and processes in English.
Ability to work in a fast-paced environment and get things done.
Ability to independently learn new subjects and understand the impact on the day to day of an existing organization.
Advantage
Experience in credit or other financial companies.
Proven experience in financial data modeling.
Experience in data visualization tools such as Looker / Tableau etc.
Experience in Fintech, or other relevant data-driven companies.

Requirements:
Required Qualifications
Minimum of 5+ years of professional experience in a blend of technical and analytical roles (e.g., Automated QA, Support Enablement, Data Analysis,AI Research. Prompt Engineering, MLOps), with a proven track record operating at the critical intersection of customer operations, data management, and AI/ML systems
AI/ML/LLM Foundation: Possesses a high-level understanding of AI tools, LLMs, machine learning, and applicative AI principles.
Python Proficiency: Proficient in Python for practical applications, including scripting, data processing, and building automation solutions.
Customer Domain Mastery: Demonstrated experience in customer-facing roles with a strong operational understanding of the Customer Support domain (workflows, knowledge base management, optimization).
Technical Communication: Strong skills in translating observed model performance issues and Agentic Action requirements into clear, prioritized technical requirements for R&D teams.
Ownership: A dedicated individual who takes full responsibility for their work, driving projects to successful completion.
Data/Content Governance: Experience with data validation, content management, and implementing data governance standards, especially for knowledge bases feeding AI systems.
Preferred Qualifications
Prompt Engineering: Proven expertise in systematically authoring, testing, and refining instructional inputs to drive specific model behavior.
Cloud Technologies: Experience with Cloud platforms like GCP, Kubernetes and containers
CI Pipelines using Gitlab
Experience with BigQuery
Experience working with APIs.

Requirements:
Analyzing Billions of user-based events into meaningful insights for strategic clients.
At least 4 years experience with SQL/pySpark for data analysis - Must
Experience in Python scripting - Must
Excellent verbal and communication skills in English - Must
AWS Infrastructure experience - Big Advantage
Working with clients - Big Advantage.
Proficiency in Online Marketing/Online Services - Advantage
At least 2 years work experience in Online/Tech Company - Advantage
Team player, autodidact, fast learner with excellent analytical, research and business skills.
Demonstrates initiative and a proactive mindset -Must
Experienced in independently managing complex projects from start to finish.
Have a Bachelor's in Statistics, Computer Science, Engineering, or related field.
Master's degree - Big Advantage.

Requirements:
3+ years of experience as a data, product, or business analyst, ideally at a fast-growing consumer company
A degree in Industrial Engineering, Mathematics, Statistics, or a related field
Strong SQL skills and hands-on experience with BI tools (Looker, Tableau, Mixpanel, or similar)
Familiarity with A/B testing best practices and comfort working with complex datasets
The ability to work fluidly across product managers, data engineers, and data scientists, and to communicate technical findings clearly in English
Ready to work in an office environment most days of the week