Logical Fallacies Jobs in Usa
903 positions found — Page 46
Fundada en 1985, ATS es una empresa con presencia en los Estados Unidos, México y el Reino Unido. Somos profesionales en mantenimiento industrial y hacemos que las fábricas funcionen mejor.
Principal Duties/Responsibilities:
· Performs expert level break-fix & preventative maintenance. This includes but is not limited to: observing devises in operation to location root cause of problem; dismantling devices to gain access to and remove defective parts; examining parts to detect imperfections; adjustment of functional parts of devices and control instruments; repair and/or replacement of defective parts; testing of device to observe performance; and performing tests for electrical circuitry and mechanical systems; reconditioning and repairing machine tools.
· Identifies and sources parts, supplies and repair items as necessary. Performs evaluations of alternatives to improve cost and / or reliability of equipment.
· Independently performs maintenance as per industry standards.
· Works with customer counterparts to optimize maintenance, reliability, and preventative maintenance procedures.
· May be required to setup and operate multiple machining operations including but not limited to: lathe, drill press, grinder, and other metalworking tools to make and repair parts. May perform welding tasks.
· Conforms and complies with customer contractor codes of conduct, housekeeping standards, and safety processes
· Documents work performed in service reports, applicable management systems, and written explanation regarding observation and collected equipment performance data.
· Provides assistance to lower level technicians and leadership to project teams. Performs expert functions as a part of training and development.
· Troubleshoots and analyzes complex control systems to resolve in-depth software/ hardware and configuration problems.
· Utilizes advanced maintenance technologies to collect equipment performance data. Observes trends and makes recommendations.
· Completes and conducts on-the-job training and technical self-study programs for career development.
· Follows all safety related policies, rules, regulations, technical instructions and guidelines. Situational awareness and identify unsafe behaviors and conditions.
Knowledge, Skills, Abilities (KSAs), & Competencies:
Essential KSAs:
· High School Graduate or equivalent (GED).
· Associates degree with a Technical focus and 10 years of related experience in specific industry; or, 12 years of experience in specific industry.
· Possesses comprehensive understanding of electrical, mechanical, fluid power and control systems. Can analyze the problem, synthesize alternative solutions, and perform repairs.
· Must be able to use basic hand tools and specialized tools as appropriate.
· Extensive travel required. (Local, National, International)
Desirable KSAs:
· Experience in condition based maintenance techniques, precision mechanical alignments, and maintenance of applicable process equipment.
· Experience in programmable logic controllers, field device troubleshooting, and maintenance of electrical drive and motor systems.
Competencies:
· Communications
· Customer Focus
· Personal Discipline
· Safety
Physical Demands and Working Conditions:
While performing the duties of this job, the employee is regularly required to stand; walk; use hands/fingers to handle, or feel; reach with hands and arms; climb, ascend/descend or balance to heights that may require a ladder or lift; stoop, kneel, crouch, or crawl in confined spaces; and talk or hear. The employee is occasionally required to sit. The employee must occasionally lift and/or move more than 50 pounds. The employee is regularly required to use close vision and color vision. The employee is occasionally exposed to outside weather conditions and risk of electrical shock. Work is typically performed in a factory environment and is usually very loud. In the factory environment, the employee may be exposed to hazardous materials and/or greasy or slippery factory floors.
ATS believes in fair and equitable pay. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. We also offer market leading benefit programs including Medical, Dental and Vision plans, PTO, a 401k retirement plans with employer matching, tuition reimbursement, and more.
Pay Range
$38.76—$49.62 USD
ATS is committed to providing equal employment opportunities in all aspects of employment to all applicants and employees without regard to age, color, race, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, disability, veteran status, genetic information, or other legally protected status. Review the privacy policy here.
ATS se compromete a brindar igualdad de oportunidades de empleo en todos los aspectos del empleo a todos los solicitantes y empleados, independientemente de su edad, color, raza, religión, sexo (incluido el embarazo, identidad de género y orientación sexual), origen nacional, discapacidad, estatus de veterano, información genética u otro estatus legalmente protegido. Revisión de la política de privacidad aquí here.
This position is hybrid (2 days remote on Tuesdays and Wednesdays) This position is responsible for leading and supporting the planning, coordination, and administration of credentialing and continuing certification activities.
This role oversees operational functions related to resident training, initial certification, registration processing, case management, and ongoing continuing certification activities to meet established workload, productivity, budget, and staffing goals.
Responsibilities: Demonstrate a strong commitment to service excellence and consistently promote a customer-focused culture.
Exhibit reliability and accountability for individual actions and team outcomes.
Adapt effectively to rapidly changing priorities and organizational needs.
Communicate clearly, professionally, and concisely with a diverse constituent base, both verbally and in writing.
Build and maintain strong working relationships across internal teams, committees, board members, volunteers, and external partners.
Apply logical and analytical thinking to problem-solving and decision-making.
Manage multiple projects and priorities simultaneously while meeting deadlines.
Maintain current technical knowledge and demonstrate a willingness to continuously learn and grow.
Requirements: Bachelor’s degree preferred; an equivalent combination of education and relevant experience will be considered.
Minimum of five (5) years of experience in progressively responsible professional or administrative roles this could include program eligibility, human resources, education/academia, medical office or hospital Demonstrated experience leading or managing projects and operational initiatives.
Prior experience in healthcare, medical specialty certification boards, or nonprofit organizations strongly preferred.
Supervisory experience is required.
Strong customer service skills and experience is required Advanced MS Office and CRM experience is required Oversee production processes and team members Adjust manufacturing results for manufacturing in-process Work as shift team leader Ensure that high quality manufacturing standards are maintained Provide work direction for team members in a production environment Coordinate training for team members Facilitate training for team members Coordinating daily manufacturing floor activities Appraise performance of team members Develop team members through cross training Provide leadership role for all team members within production cell Assign work to meet daily manufacturing requirements Verify that the team members are following standard work Prepare the production floor for daily production Function as a manufacturing lead for packaging Identifying training needs for team members Oversee daily workload of evening production team members Assigning work-direction to team members Ensure that team meets daily and monthly production goals Assist in training manufacturing process to other associates
Data analyst los angeles, ca Data analyst los angeles, ca
Global Data is a team focused on producing international data for LLMs.
For the training of large models, data is the lifeline of model quality - and the Global Data team is working closely with technical, product, and operations teams to ensure effective data production strategies and execution management.
As a key member of our LLM Global Data Team, the LLM Training Operations Analyst will play a pivotal role in managing the intricate processes involved in training large language models (LLMs) with diverse coding datasets.
This role focuses on overseeing and improving operational workflows, primarily for code-related projects, ensuring they are delivered with high quality and efficiency.
Key Responsibilities and Duties: - Project Management: Lead and manage multiple coding-focused LLM training projects, ensuring timelines, quality standards, and objectives are met.
Track project progress, identify risks, and implement corrective actions as necessary to keep projects on course.
Build and maintain strong relationships with product managers, engineers, researchers, data annotators, and other cross-functional team members.
Communicate project updates, address concerns, and align expectations to ensure successful project outcomes.
Coordinate meetings and discussions with global teams to ensure seamless project execution and work with external vendors and trainers per project demands.
- Workflow Design and Management: Design, manage, and optimize workflows for coding-focused LLM training projects, including training design, QA processes, and performance tracking to meet project needs.
Collaborate closely with product managers, engineers, and cross-functional teams to ensure alignment on quality metrics and project expectations.
- Operational Improvement: Conduct quality and productivity improvement experiments to enhance operational processes for code-related training data.
Lead and support general annotation operation improvement initiatives across various data domains.
Develop and maintain technical guidelines and casebooks to support consistent, high-quality data production.
- Data Checking and Analysis: Design and implement data analysis strategies for LLM coding projects.
Analyze annotation quality, model performance, and dataset coverage using statistical and programmatic methods.
Identify data gaps and failure patterns through slice-based evaluations and error analysis.
Use Python (Pandas, NumPy, Matplotlib) and SQL to generate insights and support model training operations.
Collaborate with researchers to inform training strategies and data improvements.
- Team Leadership and Collaboration: Provide mentorship and guidance to team members, helping to develop their skills and ensuring the delivery of high-quality outputs.
Foster a collaborative environment where team members can share knowledge and best practices to improve overall performance.
Minimum Qualifications: - 3+ years of experience in project or operations management roles.
- Experience with programming languages such as Python, Java, Go, or C, acquired through coding projects, or technical, project manager, or scrum master roles in software engineering teams.
- Strong communication and problem-solving skills with the ability to understand and convey code-related concepts effectively.
- Strong project management skills, with the ability to design, manage, and optimize complex workflows.
- Ability to balance independent judgment with collaborative teamwork in a fast-paced, project-based environment.
Preferred Qualifications - Experience in RLHF annotation and working with leading AI/LLM companies on technical projects.
- Experience with codebases and understanding of software development processes, coding best practices, and version control systems (e.g., Git). Familiarity with full-stack concepts, including front-end interfaces, back-end logic, and database integration.
- Proven ability to lead and mentor junior team members in data-related or AI/LLM projects.
- Deep interest in LLMs, computational thinking, and ability to adapt to a high-intensity work environment.
- Enthusiasm for learning, engaging with diverse technical case studies, working with global teams, and comfort with technology tools that enhance project performance.
- Proficiency in Mandarin Chinese (reading and speaking) to effectively communicate with Chinese-speaking global teams.
