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Russian Data Annotation Manager Jobs in Oregon (NOW HIRING)

Smarsh

Lead Data Scientist

OR · On-site +1

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... Data annotation and quality review * Exploratory data analysis and model fail state analysis

Waabi

Senior / Staff Software Engineer, Web Tools

OR · On-site +1

$141K - $249K/yr

... tools, data annotation tools, dataset curation tools, result comparison tools, and more ... Bonus/ nice to have: - Experience working with container and cloud infrastructure and managing ...

Just Compassion EWC

Case Manager

Portland, OR · On-site

$21.25 - $27.25/hr

Monitor data quality and maintain accurate participant records. * Maintain confidentiality ... Bilingual or multilingual abilities, including Spanish, Russian, or other languages commonly spoken ...

Just Compassion EWC

Front Desk

Portland, OR

$21 - $23/hr

Familiarity with HMIS (Homeless Management Information System) or similar data management systems. * Bilingual or multilingual abilities including Spanish, Russian, or other languages commonly spoken ...

Just Compassion EWC

Front Desk

Tigard, OR · On-site

$21 - $23/hr

Familiarity with HMIS (Homeless Management Information System) or similar data management systems. * Bilingual or multilingual abilities including Spanish, Russian, or other languages commonly spoken ...

Just Compassion EWC

Front Desk

Portland, OR · On-site

$21 - $23/hr

Familiarity with HMIS (Homeless Management Information System) or similar data management systems. * Bilingual or multilingual abilities including Spanish, Russian, or other languages commonly spoken ...

Just Compassion EWC

Front Desk

Tigard, OR

$21 - $23/hr

Familiarity with HMIS (Homeless Management Information System) or similar data management systems. * Bilingual or multilingual abilities including Spanish, Russian, or other languages commonly spoken ...

ppcw

Regional Field Organizer (PPAO)

Bend, OR · Hybrid

$52K - $77K/yr

Track outreach efforts and maintain accurate data to support organizing goals You'll play a key ... Ability to manage multiple priorities and work independently Nice to Have: * Experience with ...

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Russian Data Annotation Manager information

What is a Russian data annotation manager?

A Russian Data Annotation Manager oversees the process of labeling and annotating data in the Russian language for machine learning and AI projects. They manage teams of annotators, ensure data quality, and optimize workflows to meet project requirements. This role requires fluency in Russian, attention to detail, and experience with annotation tools. Additionally, they collaborate with engineers and linguists to refine annotation guidelines for accurate model training.

What are the key skills and qualifications needed to thrive as a Russian data annotation manager?

To thrive as a Russian Data Annotation Manager, you need fluency in Russian, experience with data annotation processes, and strong organizational abilities, often supported by a background in linguistics, computer science, or a related field. Familiarity with annotation platforms, data labeling tools, and project management software is commonly required. Leadership, attention to detail, and effective communication are key soft skills that help excel in managing diverse annotation teams. These skills are essential for ensuring high-quality data outputs and efficient project delivery in multilingual technology environments.

What are some common challenges faced by Russian data annotation managers, and how do they overcome them?

Russian Data Annotation Managers often encounter challenges related to maintaining consistency and accuracy across large, multilingual annotation teams, especially when dealing with nuanced language data. They address these issues by developing clear guidelines, conducting regular quality checks, and providing ongoing training to annotators. Collaboration with data scientists, project managers, and quality assurance personnel is also important to quickly resolve ambiguities and implement feedback. By fostering open communication and setting clear expectations, managers help ensure project standards are met and team members feel supported.

What are popular job titles related to Russian Data Annotation Manager jobs in Oregon?

For Russian Data Annotation Manager jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Russian Data Annotation Manager jobs in Oregon look for?

The top searched job categories for Russian Data Annotation Manager jobs in Oregon are:

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Cities in Oregon with the most Russian Data Annotation Manager job openings:

Russian Data Annotation Manager jobs near you

Lead Data Scientist

OR • On-site, Remote

Smarsh
Software Development • 1 - 5K employees
Learn more about Smarshexternal

Full-time

Re-posted 9 days ago

Job description

Who are we?

Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines.  Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008.

Summary
 
As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh, you will spearhead the development of state-of-the-art natural language processing (NLP) and large language model (LLM) solutions that power next-generation compliance and surveillance systems. You'll work on highly specialized problems at the intersection of natural language processing, communications intelligence, financial supervision, and regulatory compliance, where unstructured data from emails, chats, voice transcripts, and trade communications hold the keys to uncovering misconduct and risk.
 
The role will involve working with other Senior Data Scientists and mentoring Associate Data Scientists in analyzing complex data, generating insights, and creating solutions as needed across a variety of tools and platforms. This role demands both technical excellence in NLP modeling and a deep understanding of financial domain behavior-including insider trading, market manipulation, off-channel communications, MNPI, bribery, and other supervisory risk areas. The ideal candidate for this position will possess the ability to perform both independent and team-based research and generate insights from large data sets with a hands-on/can do attitude of servicing/managing day to day data requests and analysis.
 
This role also offers a unique opportunity to get exposure to many problems and solutions associated with taking machine learning and analytics research to production. On any given day, you will have the opportunity to interface with business leaders, machine learning researchers, data engineers, platform engineers, data scientists and many more, enabling you to level up in true end-to-end data science proficiency.
How will you contribute?
  • Collect, analyze, and interpret small/large datasets to uncover meaningful insights to support the development of statistical methods / machine learning algorithms.
  • Lead the design, training, and deployment of NLP and transformer-based models for financial surveillance and supervisory use cases (e.g., misconduct detection, market abuse, trade manipulation, insider communication).
  • Development of machine learning models and other analytics following established workflows, while also looking for optimization and improvement opportunities
  • Data annotation and quality review 
  • Exploratory data analysis and model fail state analysis 
  • Contribute to model governance, documentation, and explainability frameworks aligned with internal and regulatory AI standards.
  • Client/prospect guidance in machine learning model and analytic fine-tuning/development processes
  • Provide guidance to junior team members on model development and EDA
  • Work with Product Manager(s) to intake project/product requirements and translate these to technical tasks within the team's tooling, technique and procedures
  • Continued self-led personal development
What will you bring?
  • Strong understanding of financial markets, compliance, surveillance, supervision, or regulatory technology
  • Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse
  • Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R, AUROC, exploratory data analysis etc...)
  • Strong knowledge of key programming concepts (e.g. split-apply-combine, data structures, object-oriented programming)
  • Solid statistics knowledge (hypothesis testing, ANOVA, chi-square tests, etc...)
  • Knowledge of NLP transfer learning, including word embedding models (gloVe, fastText, word2vec) and transformer models (Bert, SBert, HuggingFace, and GPT-x etc.)
  • Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo
  • Knowledge of microservices architecture and continuous delivery concepts in machine learning and related technologies such as helm, Docker and Kubernetes
  • Familiarity with Deep Learning techniques for NLP.
  • Familiarity with LLMs - using ollama & Langchain
  • Excellent verbal and written skills
  • Proven collaborator, thriving on teamwork
 
Preferred Qualifications
  • Master's or Doctor of Philosophy degree in Computer Science, Applied Math, Statistics, or a scientific field
  • Familiarity with cloud computing platforms (AWS, GCS, Azure)
  • Experience with automated supervision/surveillance/compliance tools
$180,000 - $200,000 a year
 
The above salary range represents Smarsh's good faith and reasonable estimate of the range of possible base compensation at the time of posting. Any applicable bonus programs will be discussed during the recruiting process.
 
The salary for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, location, specialty and training.
 
Local cost of living assessments are done for each new hire at the time of offer.
About our culture

Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world's leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.
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